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M. Drew LaMar
Recently Published
Discrete Logistic Growth
Intro to Quantitative Biology (BIOL 325)
April 26, 2024
Spring 2024
William & Mary
From Agent-Based to Discrete Models: Logistic Growth
;Intro to Quantitative Biology (BIOL 325)
April 24, 2024
Spring 2024
William & Mar
Testing your program
Intro to Quantitative Biology (BIOL 325)
April 11, 2024
Spring 2024
William & Mary
Chapter 5: From Animations to Science
Intro to Quantitative Biology (BIOL 325)
March 28, 2024
Spring 2024
William & Mary
Implementing and Testing an Agent-Based Model
Intro to Quantitative Biology (BIOL 325)
March 25, 2024
Spring 2024
William & Mary
Describing and Formulating ABMs: The ODD Protocol
Intro to Quantitative Biology (BIOL 325)
March 22, 2024
Spring 2024
William & Mary
Gaussian Models and Linear Regression
Intro to Quantitative Biology (BIOL 325)
February 23, 2024
Spring 2024
William & Mary
Sampling the Imaginary: Using Bayesian Models for Understanding and Prediction
Intro to Quantitative Biology (BIOL 325)
February 16, 2024
Spring 2024
William & Mary
Intro to Probability
Intro to Quantitative Biology (BIOL 325)
February 5, 2024
Spring 2024
William & Mary
The Golem of Prague: Intro to Statistical Modeling
Intro to Quantitative Biology (BIOL 325)
January 29, 2024
Spring 2024
William & Mary
Understanding Science and Models
Intro to Quantitative Biology (BIOL 325)
January 26, 2024
Spring 2024
William & Mary
Chapter 17: Regression
Intro to Biostatistics (BIOL 327)
December 4, 2023
Fall 2023
William & Mary
Chapter 16: Correlation
Intro to Biostatistics (BIOL 327)
December 1, 2023
Fall 2023
William & Mary
Chapter 15: Comparing means between more than two groups
Intro to Biostatistics (BIOL 327)
November 27, 2023
Fall 2023
William & Mary
Chapter 14: Experimental Design
Intro to Biostatistics (BIOL 327)
November 15, 2023
Fall 2023
William & Mary
Chapter 13: Handling violations of assumptions
Intro to Biostatistics (BIOL 327)
November 10, 2023
Fall 2023
William & Mary
Chapter 12: Comparing two means
Intro to Biostatistics (BIOL 327)
November 5, 2023
Fall 2023
William & Mary
Chapter 11: Inference for a normal population
Intro to Biostatistics (BIOL 327)
November 3, 2023
Fall 2023
William & Mary
Chapter 10: The normal distribution
Intro to Biostatistics (BIOL 327)
October 23, 2023
Fall 2023
William & Mary
Chapter 9: Contingency Analysis
Intro to Biostatistics (BIOL 327)
October 16, 2023
Fall 2023
William & Mary
Chapter 8: Fitting probability models to frequency data
Intro to Biostatistics (BIOL 327)
October 9, 2023
Fall 2023
William & Mary
Chapter 7: Analyzing Proportions
Intro to Biostatistics (BIOL 327)
October 4, 2023
Fall 2023
William & Mary
Chapter 6: Questions, Hypotheses, and Predictions
Intro to Biostatistics (BIOL 327)
September 27, 2023
Fall 2023
William & Mary
Chapter 5: Probability
Intro to Biostatistics (BIOL 327)
September 20, 2023
Fall 2023
William & Mary
Chapter 4: Estimating with Uncertainty
Intro to Biostatistics (BIOL 327)
September 18, 2023
Fall 2023
William & Mary
Chapter 3: Descriptive Statistics
Intro to Biostatistics (BIOL 327)
September 13, 2023
Fall 2023
William & Mary
Data Visualization
Intro to Biostatistics (BIOL 327)
September 8, 2023
Fall 2023
William & Mary
Intro to Statistics, Data & Experimental Design (Chapter 1)
Intro to Biostatistics (BIOL 327)
September 1, 2023
Fall 2023
William & Mary
Discrete Logistic Growth
Intro to Quantitative Biology (BIOL 325)
April 24, 2023
Spring 2023
William & Mary
From Agent-Based to Discrete Models: Logistic Growth
Intro to Quantitative Biology (BIOL 325)
April 17, 2023
Spring 2023
William & Mary
Chapter 8: In Silico Experimentation
Intro to Quantitative Biology (BIOL 325)
April 12, 2023
Spring 2023
William & Mary
Chapter 6: Testing Your Program
Intro to Quantitative Biology (BIOL 325)
April 10, 2023
Spring 2023
William & Mary
Chapter 5: From Animations to Science
Intro to Quantitative Biology (BIOL 325)
March 31, 2023
Spring 2023
William & Mary
Implementing and Testing an Agent-Based Model
Intro to Quantitative Biology (BIOL 325)
March 27, 2023
Spring 2023
William & Mary
Describing and Formulating ABMs: The ODD Protocol
Intro to Quantitative Biology (BIOL 325)
March 24, 2023
Spring 2023
William & Mary
Multiple Regression
Intro to Quantitative Biology (BIOL 325)
February 27, 2023
Spring 2023
William & Mary
Geocentric Models
Intro to Quantitative Biology (BIOL 325)
February 17, 2023
Spring 2023
William & Mary
Sampling the Imaginary
Intro to Quantitative Biology (BIOL 325)
February 13, 2023
Spring 2023
William & Mary
Intro to Probability
Intro to Quantitative Biology (BIOL 325)
February 1, 2023
Spring 2023
William & Mary
The Golem of Prague: Intro to Statistical Modeling
Introduction to Quantitative Biology (BIOL 325)
January 30, 2023
Spring 2023
William & Mary
Chapter 17: Regression
Introduction to Biostatistics (BIOL 327)
December 5, 2022
Fall 2022
William & Mary
Chapter 16: Correlation
Introduction to Biostatistics (BIOL 327)
December 5, 2022
Fall 2022
William & Mary
Chapter 15: Comparing means between more than two groups
Introduction to Biostatistics (BIOL 327)
November 28, 2022
Fall 2022
William & Mary
Designing experiments
Introduction to Biostatistics (BIOL 327)
November 18, 2022
Fall 2022
William & Mary
Handling violations of assumptions
Introduction to Biostatistics (BIOL 327)
November 14, 2022
Fall 2022
William & Mary
Comparing two means
Introduction to Biostatistics (BIOL 327)
November 4, 2022
Fall 2022
William & Mary
Inference for a normal population
Introduction to Biostatistics (BIOL 327)
October 31, 2022
Fall 2022
William & Mary
The normal distribution
Introduction to Biostatistics (BIOL 327)
October 28, 2022
Fall 2022
William & Mary
Contingency Analysis
;Introduction to Biostatistics (BIOL 327)
October 24, 2022
Fall 2022
William & Mar
Chapter 8: Fitting probability models to frequency data
Introduction to Biostatistics (BIOL 327)
October 17, 2022
Fall 2022
William & Mary
Analyzing Proportions
Introduction to Biostatistics (BIOL 327)
October 10, 2022
Fall 2022
William & Mary
Questions, Hypotheses, and Predictions
Introduction to Biostatistics (BIOL 327)
October 3, 2022
Fall 2022
William & Mary
Probability
Introduction to Biostatistics (BIOL 327)
September 23, 2022
Fall 2022
William & Mary
Estimating with Uncertainty
Introduction to Biostatistics (BIOL 327)
September 16, 2022
Fall 2022
William & Mary
Descriptive Statistics
Introduction to Biostatistics (BIOL 327)
September 14, 2022
Fall 2022
William & Mary
Data Visualization
Introduction to Biostatistics (BIOL 327)
September 9, 2022
Fall 2022
William & Mary
Intro to Statistics, Data, and Experimental Design
Introduction to Biostatistics (BIOL 327)
September 2, 2022
Fall 2022
William & Mary
Intro to Course
Introduction to Biostatistics (BIOL 327)
August 31, 2022
Fall 2022
William & Mary
Multiple Linear Regression
Introduction to Quantitative Biology (BIOL 325)
April 27, 2022
Spring 2022
William & Mary
Regression and Correlation
Introduction to Quantitative Biology (BIOL 325)
April 27, 2022
Spring 2022
William & Mary
Hypothesis Testing
Introduction to Quantitative Biology (BIOL 325)
April 18, 2022
Spring 2022
William & Mary
Sampling Distributions and Confidence Intervals
Introduction to Quantitative Biology (BIOL 325)
April 15, 2022
Spring 2022
William & Mary
Intro to Statistical Inference
Introduction to Quantitative Biology (BIOL 325)
April 6, 2022
Spring 2022
William & Mary
Population Genetics
Introduction to Quantitative Biology (BIOL 325)
March 30, 2022
Spring 2022
William & Mary
Discrete Logistic Growth
Introduction to Quantitative Biology (BIOL 325)
March 21, 2022
Spring 2022
William & Mary
From Agent-Based to Discrete Models: Logistic Growth
Introduction to Quantitative Biology (BIOL 325)
March 7, 2022
Spring 2022
William & Mary
In Silico Experimentation
Introduction to Quantitative Biology (BIOL 325)
March 2, 2022
Spring 2022
William & Mary
Testing Your Program
Introduction to Quantitative Biology (BIOL 325)
February 23, 2022
Spring 2022
William & Mary
From Animations to Science
Introduction to Quantitative Biology (BIOL 325)
February 18, 2022
Spring 2022
William & Mary
Implementing and Testing an Agent-Based Model
Introduction to Quantitative Biology (BIOL 325)
February 14, 2022
Spring 2022
William & Mary
Describing and Formulating ABMs: The ODD Protocol
Introduction to Quantitative Biology (BIOL 325)
February 11, 2022
Spring 2022
William & Mary
Introduction to Agent-Based Modeling (ABM)
Introduction to Quantitative Biology (BIOL 325)
February 2, 2022
Spring 2022
William & Mary
Understanding Science and Models
Introduction to Quantitative Biology (BIOL 325)
January 28, 2022
Spring 2022
William & Mary
Lecture: ANOVA
Introduction to Biostatistics (BIOL 327)
November 22, 2021
Fall 2021
William & Mary
Lecture: ANOVA
Introduction to Biostatistics (BIOL 327)
November 22, 2021
Fall 2021
William & Mary
Lecture: Experimental Design
Introduction to Biostatistics (BIOL 327)
November 15, 2021
Fall 2021
William & Mary
Lecture: Experimental Design
Introduction to Biostatistics (BIOL 327)
November 15, 2021
Fall 2021
William & Mary
Lecture: My assumptions are violated!!! (with transitions)
Introduction to Biostatistics (BIOL 327)
November 8, 2021
Fall 2021
William & Mary
Lecture: My assumptions are violated!!!
Introduction to Biostatistics (BIOL 327)
November 8, 2021
Fall 2021
William & Mary
Lecture: Comparing two means (with transitions)
Introduction to Biostatistics (BIOL 327)
November 3, 2021
Fall 2021
William & Mary
Lecture: Comparing two means
Introduction to Biostatistics (BIOL 327)
November 3, 2021
Fall 2021
William & Mary
Lecture: Inference for a normal population
Introduction to Biostatistics (BIOL 327)
November 1, 2021
Fall 2021
William & Mary
Lecture: Inference for a normal population
Introduction to Biostatistics (BIOL 327)
November 1, 2021
Fall 2021
William & Mary
Lecture: The normal distribution
Introduction to Biostatistics (BIOL 327)
October 29, 2021
Fall 2021
William & Mary
Lecture: The normal distribution
Introduction to Biostatistics (BIOL 327)
October 29, 2021
Fall 2021
William & Mary
Lecture: Contingency Analysis (with transitions)
Introduction to Biostatistics (BIOL 327)
October 25, 2021
Fall 2021
William & Mary
Lecture: Contingency Analysis
Introduction to Biostatistics (BIOL 327)
October 25, 2021
Fall 2021
William & Mary
Lecture: Fitting probability models to frequency data (incremental)
Introduction to Biostatistics (BIOL 327)
October 11, 2021
Fall 2021
William & Mary
Lecture: Fitting probability models to frequency data
Introduction to Biostatistics (BIOL 327)
October 11, 2021
Fall 2021
William & Mary
Lecture 14: Analyzing proportions (incremental)
Introduction to Biostatistics (BIOL 327)
October 6, 2021
Fall 2021
William & Mary
Lecture 14: Analyzing proportions
Introduction to Biostatistics (BIOL 327)
October 5, 2021
Fall 2021
William & Mary
September 29, 2021
Introduction to Biostatistics (BIOL 327)
September 29, 2021
Fall 2021
William & Mary
Lecture 11: Questions, Hypotheses, and Predictions
Introduction to Biostatistics (BIOL 327)
September 27, 2021
Fall 2021
William & Mary
Lecture 10: Probability (Part 2)
Introduction to Biostatistics (BIOL 327)
September 22, 2021
Fall 2021
William & Mary
Lecture 9: Probability (Part 1)
Introduction to Biostatistics (BIOL 327)
September 20, 2021
Fall 2021
William & Mary
Lecture 8: Uncertainty & Probability
Introduction to Biostatistics (BIOL 327)
September 17, 2021
Fall 2021
William & Mary
Lecture 7: Estimating with Uncertainty
Introduction to Biostatistics (BIOL 327)
September 15, 2021
Fall 2021
William & Mary
Lecture 6: Descriptive Statistics (for realzzz)
Introduction to Biostatistics (BIOL 327)
September 13, 2021
Fall 2021
William & Mary
Lecture 5: Descriptive Statistics
Introduction to Biostatistics (BIOL 327)
September 10, 2021
Fall 2021
William & Mary
Lecture 4: Data Visualization
Introduction to Biostatistics (BIOL 327)
September 8, 2021
Fall 2021
William & Mary
Lecture 3: Data Visualization (Part 1)
Introduction to Biostatistics (BIOL 327)
September 6, 2021
Fall 2021
William & Mary
Lecture 2: Intro to Statistics, Data & Experimental Design
Introduction to Biostatistics (BIOL 327)
September 3, 2021
Fall 2021
William & Mary
Lecture 1: Intro to Course
Introduction to Biostatistics (BIOL 327)
September 1, 2021
Fall 2021
William & Mary
Lecture 22: Discrete Logistic Growth (cont'd) (cond't)
Introduction to Quant Bio (BIOL 325)
April 21, 2021
Spring 2021
William & Mary
Lecture 21: Discrete Logistic Growth (cont'd)
Introduction to Quant Bio (BIOL 325)
April 19, 2021
Spring 2021
William & Mary
Lecture 20: Discrete Logistic Growth
Introduction to Quant Bio (BIOL 325)
April 16, 2021
Spring 2021
William & Mary
Lecture 19: From Agent-Based to Population Models: Logistic Growth
Introduction to Quant Bio (BIOL 325)
April 12, 2021
Spring 2021
William & Mary
In Silico Experimentation
Introduction to Quant Bio (BIOL 325)
April 5, 2021
Spring 2021
William & Mary
Lecture 17: Testing Your Program
Introduction to Quant Bio (BIOL 325)
March 31, 2021
Spring 2021
William & Mary
Lecture 16: Implementing and Testing an Agent-Based Model
Introduction to Quant Bio (BIOL 325)
March 26, 2021
Spring 2021
William & Mary
Lecture 15: Describing and Formulating ABMs: The ODD Protocol
Introduction to Quant Bio (BIOL 325)
March 22, 2021
Spring 2021
William & Mary
Lecture 14: Introduction to Agent-Based Modeling (ABM)
Introduction to Quant Bio (BIOL 325)
March 10, 2021
Spring 2021
William & Mary
Lecture 13: Akaike's Information Criterion (AIC)
Introduction to Quant Bio (BIOL 325)
March 8, 2021
Spring 2021
William & Mary
Lecture 12: Parsimony, Likelihood, and AIC
Introduction to Quant Bio (BIOL 325)
March 5, 2021
Spring 2021
William & Mary
Lecture 11: Parsimony and Likelihood
Introduction to Quant Bio (BIOL 325)
March 3, 2021
Spring 2021
William & Mary
Lecture 10: Data and Models
Introduction to Quant Bio (BIOL 325)
March 1, 2021
Spring 2021
William & Mary
Lecture 9: Multiple Linear Regression
Introduction to Quant Bio (BIOL 325)
February 22, 2021
Spring 2021
William & Mary
Lecture 8: Regression & Correlation
Introduction to Quant Bio (BIOL 325)
February 17, 2021
Spring 2021
William & Mary
Lecture 7: Statistical Power
Introduction to Quant Bio (BIOL 325)
February 15, 2021
Spring 2021
William & Mary
Lecture 6: Hypothesis Testing
Introduction to Quant Bio (BIOL 325)
February 10, 2021
Spring 2021
William & Mary
Lecture 4: Central Limit Theorem and Hypothesis Testing
Introduction to Quant Bio (BIOL 325)
February 5, 2021
Spring 2021
William & Mary
Lecture 3: Sampling Distributions and Confidence Intervals
Introduction to Quant Bio (BIOL 325)
February 3, 2021
Spring 2021
William & Mary
Lecture 2: Intro to Statistical Inference
Introduction to Quant Bio (BIOL 325)
February 1, 2021
Spring 2021
William & Mary
Lecture 1: Understanding Science and Models
Introduction to Quant Bio (BIOL 325)
January 29, 2021
Spring 2021
William & Mary
Lecture 34: Regression (Part 3)
Introduction to Biostatistics (BIOL 327)
November 11, 2020
Fall 2020
William & Mary
Lecture 33: Regression (Part 2)
Introduction to Biostatistics (BIOL 327)
November 9, 2020
Fall 2020
William & Mary
Lecture 31: Correlation between numerical variables
Introduction to Biostatistics (BIOL 327)
November 4, 2020
Fall 2020
William & Mary
Lecture 30: ANOVA (Part 3)
Introduction to Biostatistics (BIOL 327)
November 2, 2020
Fall 2020
William & Mary
Lecture 29: ANOVA (Part 2)
Introduction to Biostatistics (BIOL 327)
October 30, 2020
Fall 2020
William & Mary
Lecture 28: ANOVA (Part 1)
Introduction to Biostatistics (BIOL 327)
October 28, 2020
Fall 2020
William & Mary
Lecture 27: Experimental Design (Part 2)
Introduction to Biostatistics (BIOL 327)
October 26, 2020
Fall 2020
William & Mary
Lecture 26: Experimental Design
Introduction to Biostatistics (BIOL 327)
October 23, 2020
Fall 2020
William & Mary
Lecture 25: Violations of assumptions (Part 2)
Introduction to Biostatistics (BIOL 327)
October 21, 2020
Fall 2020
William & Mary
Lecture 24: My assumptions are violated!!!
Introduction to Biostatistics (BIOL 327)
October 19, 2020
Fall 2020
William & Mary
Lecture 23: Comparing two means (Part 2)
Introduction to Biostatistics (BIOL 327)
October 16, 2020
Fall 2020
William & Mary
Lecture 22: Comparing two means
Introduction to Biostatistics (BIOL 327)
October 14, 2020
Fall 2020
William & Mary
Lecture 21: Inference for a normal population
Introduction to Biostatistics (BIOL 327)
October 12, 2020
Fall 2020
William & Mary
Lecture 20: The Normal Distribution
Introduction to Biostatistics (BIOL 327)
October 5, 2020
Fall 2020
William & Mary
Lecture 19: Contingency analysis (Part 2)
Introduction to Biostatistics (BIOL 327)
October 2, 2020
Fall 2020
William & Mary
Lecture 18: Contingency Analysis (Part 1.570796)
Introduction to Biostatistics (BIOL 327)
September 30, 2020
Fall 2020
William & Mary
Mass extinctions with dplyr and tidyr
Introduction to Biostatistics (BIOL 327)
September 29, 2020
Fall 2020
William & Mary
Lecture 17: Contingency Analysis (Part 1)
Introduction to Biostatistics (BIOL 327)
September 28, 2020
Fall 2020
William & Mary
Lecture 16: Fitting probability models to frequency data (Part 2)
Introduction to Biostatistics (BIOL 327)
September 25, 2020
Fall 2020
William & Mary
Lecture 15: Fitting probability models to frequency data (Part 1)
Introduction to Biostatistics (BIOL 327)
September 23, 2020
Fall 2020
William & Mary
Lecture 14: Analyzing proportions (Part 2)
Introduction to Biostatistics (BIOL 327)
September 21, 2020
Fall 2020
William & Mary
Lecture 13: Analyzing proportions
Introduction to Biostatistics (BIOL 327)
September 16, 2020
Fall 2020
William & Mary
Lecture 12: Hypothesis Testing
Introduction to Biostatistics (BIOL 327)
September 14, 2020
Fall 2020
William & Mary
Lecture 11: Questions, Hypotheses, and Predictions
Introduction to Biostatistics (BIOL 327)
September 11, 2020
Fall 2020
William & Mary
Lecture 10: Probability (Part 2)
Introduction to Biostatistics (BIOL 327)
September 9, 2020
Fall 2020
William & Mary
Lecture 10.5: Bayes Theorem
Introduction to Biostatistics (BIOL 327)
September 9, 2020
Fall 2020
William & Mary
Lecture 9: Probability
Introduction to Biostatistics (BIOL 327)
September 7, 2020
Fall 2020
William & Mary
Lecture 8: Uncertainty & Probability
Introduction to Biostatistics (BIOL 327)
September 4, 2020
Fall 2020
William & Mary
Lecture 6: Estimating with uncertainty
Introduction to Biostatistics (BIOL 327)
August 31, 2020
Fall 2020
William & Mary
Lecture 5: Descriptive Statistics
Introduction to Biostatistics (BIOL 327)
August 28, 2020
Fall 2020
William & Mary
Lecture 4: Data Visualization (Part 2)
Introduction to Biostatistics (BIOL 327)
August 26, 2020
Fall 2020
William & Mary
Lecture 3 - Data Visualization (Part 1)
Introduction to Biostatistics (BIOL 327)
August 24, 2020
Fall 2020
William & Mary
Lecture 2: Intro to Statistics, Data & Experimental Design
Introduction to Biostatistics (BIOL 327)
August 21, 2020
Fall 2020
William & Mary
Lecture 1: Intro to Course
Introduction to Biostatistics (BIOL 327)
August 19, 2020
Fall 2020
William & Mary
Discrete Logistic Growth (cont'd Part 3)
Introduction to Quantitative Biology (BIOL 325)
April 24, 2020
Spring 2020
William & Mary
Discrete Logistic Growth (cont'd)
Introduction to Quantitative Biology (BIOL 325)
April 22, 2020
Spring 2020
William & Mary
Discrete Logistic Growth
Introduction to Quantitative Biology (BIOL 325)
April 20, 2020
Spring 2020
William & Mary
From Agent-Based to Population Models: Logistic Growth (cont'd)
Introduction to Quantitative Biology (BIOL 325)
April 17, 2020
Spring 2020
William & Mary
From Agent-Based to Population Models: Logistic Growth
Introduction to Quantitative Biology (BIOL 325)
April 15, 2020
Spring 2020
William & Mary
In Silico Experimentation
Introduction to Quantitative Biology (BIOL 325)
April 6, 2020
Spring 2020
William & Mary
Testing your Program
Introduction to Quantitative Biology (BIOL 325)
April 1, 2020
Spring 2020
William & Mary
Implementing and Testing an Agent-Based Model
Introduction to Quantitative Biology (BIOL 325)
March 27, 2020
Spring 2020
William & Mary
Describing and Formulating ABMs: The ODD Protocol
Introduction to Quantitative Biology (BIOL 325)
March 25, 2020
Spring 2020
William & Mary
Introduction to Agent-Based Modeling
Introduction to Quantitative Biology (BIOL 325)
February 28, 2020
Spring 2020
William & Mary
Akaike's Information Criterion (AIC)
Introduction to Quantitative Biology (BIOL 325)
February 24, 2020
Spring 2020
William & Mary
Parsimony, Likelihood, and AIC
Introduction to Quantitative Biology (BIOL 325)
February 19, 2020
Spring 2020
William & Mary
Parsimony and Collinearity
Introduction to Quantitative Biology (BIOL 325)
February 17, 2020
Spring 2020
William & Mary
Data and Models
Introduction to Quantitative Biology (BIOL 325)
February 14, 2020
Spring 2020
William & Mary
Multiple Linear Regression (Part 2)
Introduction to Quantitative Biology (BIOL 325)
February 12, 2020
Spring 2020
William & Mary
Multiple Linear Regression
Introduction to Quantitative Biology (BIOL 325)
February 10, 2020
Spring 2020
William & Mary
Linear Regression (cont'd)
Introduction to Quantitative Biology (BIOL 325)
February 7, 2020
Spring 2020
William & Mary
Linear Regression
Introduction to Quantitative Biology (BIOL 325)
February 5, 2020
Spring 2020
William & Mary
Errors in Hypothesis Testing
Introduction to Quantitative Biology (BIOL 325)
February 3, 2020
Spring 2020
William & Mary
Central Limit Theorem and Hypothesis Testing
Introduction to Quantitative Biology (BIOL 325)
January 31, 2020
Spring 2020
William & Mary
Lecture 3: Sampling Distributions and Confidence Intervals
Introduction to Quantitative Biology (BIOL 325)
January 29, 2020
Spring 2020
William & Mary
Intro to Statistical Inference
Introduction to Quantitative Biology (BIOL 325)
January 27, 2020
Spring 2020
William & Mary
Understanding Science
Introduction to Quantitative Biology (BIOL 325)
January 27, 2020
Spring 2020
William & Mary
Lecture 33: Regression (Part 2)
Introduction to Biostatistics (BIOL 327)
December 6, 2019
Fall 2019
William & Mary
Lecture 32: Regression
Introduction to Biostatistics (BIOL 327)
December 4, 2019
Fall 2019
William & Mary
Lecture 31: Correlation between numerical variables
Introduction to Biostatistics (BIOL 327)
December 2, 2019
Fall 2019
William & Mary
Lecture 30: The Analysis of Variance (ANOVA) Part 3
Introduction to Biostatistics (BIOL 327)
November 20, 2019
Fall 2019
William & Mary
Lecture 29: The Analysis of Variance (ANOVA) Part 2 (edited)
Introduction to Biostatistics (BIOL 327)
November 20, 2019
Fall 2019
William & Mary
Lecture 29: The Analysis of Variance (ANOVA) Part 2
Introduction to Biostatistics (BIOL 327)
November 18-20, 2019
Fall 2019
William & Mary
Lecture 28: The Analysis of Variance (ANOVA)
Introduction to Biostatistics (BIOL 327)
November 18, 2019
Fall 2019
William & Mary
Lecture 27: My assumptions are violated!! (Part 2)
Introduction to Biostatistics (BIOL 327)
November 15, 2019
Fall 2019
William & Mary
Lecture 26: My assumptions are violated!!
Introduction to Biostatistics (BIOL 327)
November 13, 2019
Fall 2019
William & Mary
Lecture 25: Pseudoreplication and sampling
Introduction to Biostatistics (BIOL 327)
November 11, 2019
Fall 2019
William & Mary
Lecture 24: Variances, Fallacies, and Exams - Oh my!!!
Introduction to Biostatistics (BIOL 327)
November 6, 2019
Fall 2019
William & Mary
Lecture 23: Comparing two means (Part 2)
Introduction to Biostatistics (BIOL 327)
November 4, 2019
Fall 2019
William & Mary
Lecture 22: Comparing two means
Introduction to Biostatistics (BIOL 327)
November 1, 2019
Fall 2019
William & Mary
Lecture 21: Inference for a normal population
Introduction to Biostatistics (BIOL 327)
October 30, 2019
Fall 2019
William & Mary
Lecture 20: The normal distribution
Introduction to Biostatistics (BIOL 327)
October 28, 2019
Fall 2019
William & Mary
Contingency Analysis: Part 2
Introduction to Biostatistics (BIOL 327)
October 23, 2019
Fall 2019
William & Mary
Lecture 18: Contingency Analysis
Introduction to Biostatistics (BIOL 327)
October 21, 2019
Fall 2019
William & Mary
Lecture 16: Fitting probability models to frequency data (Part I)
Introduction to Biostatistics (BIOL 327)
October 16, 2019
Fall 2019
William & Mary
Lecture 15: Fitting probability models to frequency data (Part I)
Introduction to Biostatistics (BIOL 327)
October 11, 2019
Fall 2019
William & Mary
Lecture 14: Analyzing Proportions (Part 2)
Introduction to Biostatistics (BIOL 327)
October 9, 2019
Fall 2019
William & Mary
Lecture 13: Analyzing Proportions (Part 1)
Introduction to Biostatistics (BIOL 327)
October 7, 2019
Fall 2019
William & Mary
Lecture 12: Hypothesis Testing
Introduction to Biostatistics (BIOL 327)
October 4, 2019
Fall 2019
William & Mary
Lecture 11: Questions, Hypotheses, and Predictions
Introduction to Biostatistics (BIOL 327)
September 30, 2019
Fall 2019
William & Mary
Lecture 10.5: Bayes Theorem
Introduction to Biostatistics (BIOL 327)
September 30, 2019
Fall 2019
William & Mary
Lecture 10: Probability (Part 2)
Introduction to Biostatistics (BIOL 327)
September 20, 2019
Fall 2019
William & Mary
Lecture 9: Probability
Introduction to Biostatistics (BIOL 327)
September 18, 2019
Fall 2019
William & Mary
Lecture 8: Estimating with Uncertainty (Part 2)
Introduction to Biostatistics (BIOL 327)
September 16, 2019
Fall 2019
William & Mary
Lecture 7: Estimating with Uncertainty
Introduction to Biostatistics (BIOL 327)
September 13, 2019
Fall 2019
William & Mary
Lecture 6: Descriptive Statistics
Introduction to Biostatistics (BIOL 327)
September 11, 2019
Fall 2019
William & Mary
Lecture 5: Data Visualization (Part 2)
Introduction to Biostatistics (BIOL 327)
September 9, 2019
Fall 2019
William & Mary
Lecture 4: Data Visualization
Introduction to Biostatistics (BIOL 327)
September 4, 2019
Fall 2019
William & Mary
Lecture 3: What is statistics?
Introduction to Biostatistics (BIOL 327)
September 2, 2019
Fall 2019
William & Mary
Lecture 2: Intro to Data & Experimental Design
Introduction to Biostatistics (BIOL 327)
August 30, 2019
Fall 2019
William & Mary
Lecture 1: Intro to Course
Introduction to Biostatistics (BIOL 327)
August 29, 2019
Fall 2019
William and Mary
Population Genetics
Introduction to Quantitative Biology (BIOL 325)
March 27, 2019
Spring 2019
College of William and Mary
In Silico Experimentation
Introduction to Quantitative Biology (BIOL 325)
March 20, 2019
Spring 2019
College of William and Mary
Testing Your Program
Introduction to Quantitative Biology (BIOL 325)
March 18, 2019
Spring 2019
College of William and Mary
In-Silico Simulation: The 2019 Raft Debate Edition!
EDIT: Slide title is "Testing your Program", but this title is more appropriate to the content.
Introduction to Quantitative Biology (BIOL 325)
March 15, 2019
Spring 2019
College of William and Mary
Implementing and Testing an Agent-Based Model
Introduction to Quantitative Biology (BIOL 325)
March 13, 2019
Spring 2019
College of William and Mary
Describing and Formulating ABMs: The ODD Protocol
Introduction to Quantitative Biology (BIOL 325)
March 11, 2019
Spring 2019
College of William and Mary
Introduction to Agent-Based Modeling (ABM)
Introduction to Quantitative Biology (BIOL 325)
February 25, 2019
Spring 2019
College of William and Mary
Akaike's Information Criterion (AIC)
Introduction to Quantitative Biology (BIOL 325)
February 22, 2019
Spring 2019
College of William and Mary
Parsimony and Likelihood (Part 2)
Introduction to Quantitative Biology (BIOL 325)
February 20, 2019
Spring 2019
College of William and Mary
Parsimony and Likelihood
Introduction to Quantitative Biology (BIOL 325)
February 18, 2019
Spring 2019
College of William and Mary
Parsimony and Collinearity
Introduction to Quantitative Biology (BIOL 325)
February 15, 2019
Spring 2019
College of William and Mary
Data and Models
Introduction to Quantitative Biology (BIOL 325)
February 13, 2019
Spring 2019
College of William and Mary
Multiple Linear Regression (Part 2)
Introduction to Quantitative Biology (BIOL 325)
February 11, 2019
Spring 2019
College of William and Mary
Multiple Linear Regression (Part 1)
Introduction to Quantitative Biology (BIOL 325)
February 8, 2019
Spring 2019
College of William and Mary
Linear Regression (cont'd)
Introduction to Quantitative Biology (BIOL 325)
February 6, 2019
Spring 2019
College of William and Mary
Linear Regression
Introduction to Quantitative Biology (BIOL 325)
February 4, 2019
Spring 2019
College of William and Mary
Errors in Hypothesis Testing; Linear Regression
Introduction to Quantitative Biology (BIOL 325)
February 1, 2019
Spring 2019
College of William and Mary
Central Limit Theorem and Hypothesis Testing
Introduction to Quantitative Biology (BIOL 325)
January 30, 2019
Spring 2019
College of William and Mary
Sampling Distributions and Confidence Intervals
Introduction to Quantitative Biology (BIOL 325)
January 28, 2019
Spring 2019
College of William and Mary
Intro to Statistical Inference
Introduction to Quantitative Biology (BIOL 325)
January 25, 2019
Spring 2019
College of William and Mary
Intro to Models and Modeling
Introduction to Quantitative Biology (BIOL 325)
January 23, 2019
Spring 2019
College of William and Mary
Lecture 35: Parting words and stuff
Introduction to Biostatistics (BIOL 327)
December 7, 2018
Fall 2018
College of William and Mary
Lecture 34: Different experimental designs
Introduction to Biostatistics (BIOL 327)
December 5, 2018
Fall 2018
College of William and Mary
Lecture 33: Regression (Part 2)
Introduction to Biostatistics (BIOL 327)
December 3, 2018
Fall 2018
College of William and Mary
Lecture 32: Regression (Part 1)
Introduction to Biostatistics (BIOL 327)
November 28, 2018
Fall 2018
College of William and Mary
Lecture 31: Correlation
Introduction to Biostatistics (BIOL 327)
November 26, 2018
Fall 2018
College of William and Mary
Lecture 30: The Analysis of Variance (ANOVA) - Part 3
Introduction to Biostatistics (BIOL 327)
November 19, 2018
Fall 2018
College of William and Mary
Lecture 29: The Analysis of Variance (ANOVA) - Part 2
Introduction to Biostatistics (BIOL 327)
November 16, 2018
Fall 2018
College of William and Mary
Lecture 28: The Analysis of Variance (ANOVA) - Part 1
Introduction to Biostatistics (BIOL 327)
November 14, 2018
Fall 2018
College of William and Mary
Lecture 27: My assumptions are violated!! (Part 2)
Introduction to Biostatistics (BIOL 327)
November 12, 2018
Fall 2018
College of William and Mary
Lecture 26: My assumptions are violated!!
Introduction to Biostatistics (BIOL 327)
November 7, 2018
Fall 2018
College of William and Mary
Lecture 25: Pseudoreplication and sampling
Introduction to Biostatistics (BIOL 327)
November 5, 2018
Fall 2018
College of William and Mary
Lecture 24: Variances, Fallacies, and Exams - Oh my!!!
Introduction to Biostatistics (BIOL 327)
November 2, 2018
Fall 2018
College of William and Mary
Lecture 23: Comparing two means (unpaired designs)
Introduction to Biostatistics (BIOL 327)
October 31, 2018
Fall 2018
College of William and Mary
Lecture 22: Comparing two means (paired designs)
Introduction to Biostatistics (BIOL 327)
October 29, 2018
Fall 2018
College of William and Mary
Lecture 21: Inference for a normal population
Introduction to Biostatistics (BIOL 327)
October 24, 2018
Fall 2018
College of William and Mary
Lecture 20: The normal distribution
Introduction to Biostatistics (BIOL 327)
October 22, 2018
Fall 2018
College of William and Mary
Lecture 19: Contingency Analysis (Part 2)
Introduction to Biostatistics (BIOL 327)
October 19, 2018
Fall 2018
College of William and Mary
Lecture 18: Contingency Analysis
Introduction to Biostatistics (BIOL 327)
October 17, 2018
Fall 2018
College of William and Mary
Lecture 16: Fitting probability models to frequency data (Part 2)
Introduction to Biostatistics (BIOL 327)
October 10, 2018
Fall 2018
College of William and Mary
Lecture 15: Fitting probability models to frequency data (Part I)
Introduction to Biostatistics (BIOL 327)
October 8, 2018
Fall 2018
College of William and Mary
Lecture 14: Analyzing Proportions (Part 2)
Introduction to Biostatistics (BIOL 327)
October 5, 2018
Fall 2018
College of William and Mary
Lecture: Bayes Theorem
Introduction to Biostatistics (BIOL 327)
October 3, 2018
Fall 2018
College of William and Mary
Lecture 13: Analyzing proportions
Introduction to Biostatistics (BIOL 327)
October 3, 2018
Fall 2018
College of William and Mary
Lecture 12: Hypothesis Testing
Introduction to Biostatistics (BIOL 327)
October 1, 2018
Fall 2018
College of William and Mary
Lecture 11: Questions, Hypotheses, and Predictions
Introduction to Biostatistics (BIOL 327)
September 26, 2018
Fall 2018
College of William and Mary
Lecture 10: Probability (Part 2)
Introduction to Biostatistics (BIOL 327)
September 24, 2018
Fall 2018
College of William and Mary
Lecture 9: Probability (Part 1)
Slides: http://rpubs.com/mdlama/fall2018_lecture08
Introduction to Biostatistics (BIOL 327)
September 21, 2018
Fall 2018
College of William and Mary
Lecture 8: Estimating with Uncertainty (Part 2)
Introduction to Biostatistics (BIOL 327)
September 19, 2018
Fall 2018
College of William and Mary
Lecture 7: Estimating with Uncertainty (Part 1)
Introduction to Biostatistics (BIOL 327)
September 17, 2018
Fall 2018
College of William and Mary
Lecture 6: Descriptive Statistics
Introduction to Biostatistics (BIOL 327)
September 10, 2018
Fall 2018
College of William and Mary
Lecture 5: Data Visualization (Part 2)
Introduction to Biostatistics (BIOL 327)
September 7, 2018
Fall 2018
College of William and Mary
Lecture 4: Data Visualization
Introduction to Biostatistics (BIOL 327)
September 5, 2018
Fall 2018
College of William and Mary
Lecture 3: What is statistics?
Introduction to Biostatistics (BIOL 327)
September 3, 2018
Fall 2018
College of William and Mary
Lecture 2: Intro to Data & Experimental Design
Introduction to Biostatistics (BIOL 327)
August 31, 2018
Fall 2018
College of William and Mary
Lecture 1: Intro to Course
Introduction to Biostatistics (BIOL 327)
August 29, 2018
Fall 2018
College of William and Mary
Lecture 35: Different experimental designs
Introduction to Biostatistics (BIOL 327)
April 19, 2017
Spring 2017
College of William and Mary
Lecture 34: Multiple explanatory variables (Part 2)
Introduction to Biostatistics (BIOL 327)
April 17, 2017
Spring 2017
College of William and Mary
Lecture 33: Multiple explanatory variables (Part 1)
Introduction to Biostatistics (BIOL 327)
April 14, 2017
Spring 2017
College of William and Mary
Lecture 32: Regression (Part 2)
Introduction to Biostatistics (BIOL 327)
April 12, 2017
Spring 2017
College of William and Mary
Lecture 31: Regression (Part 1)
Introduction to Biostatistics (BIOL 327)
April 10, 2017
Spring 2017
College of William and Mary
Lecture 30: Correlation between numerical variables
Introduction to Biostatistics (BIOL 327)
April 7, 2017
Spring 2017
College of William and Mary
Lecture 29: The Analysis of Variance (Part 3)
Introduction to Biostatistics (BIOL 327)
April 5, 2017
Spring 2017
College of William and Mary
Lecture 28: The Analysis of Variance (ANOVA) (Part 2)
Introduction to Biostatistics (BIOL 327)
April 3, 2017
Spring 2017
College of William and Mary
Lecture 27: The Analysis of Variance (ANOVA)
Introduction to Biostatistics (BIOL 327)
March 31, 2017
Spring 2017
College of William and Mary
Lecture 26: My assumptions are violated! (Part 2)
Introduction to Biostatistics (BIOL 327)
March 29, 2017
Spring 2017
College of William and Mary
Lecture 25: My assumptions are violated!
Introduction to Biostatistics (BIOL 327)
March 28, 2017
Spring 2017
College of William and Mary
Lecture 24: Pseudoreplication and sampling
Introduction to Biostatistics (BIOL 327)
March 22, 2017
Spring 2017
College of William and Mary
Lecture 23: Comparing two means (Part 2)
Introduction to Biostatistics (BIOL 327)
March 20, 2017
Spring 2017
College of William and Mary
Lecture 22: Comparing two means (paired designs)
Introduction to Biostatistics (BIOL 327)
March 17, 2017
Spring 2017
College of William and Mary
Lecture 21: Inference for a Normal Population
Introduction to Biostatistics (BIOL 327)
March 15, 2017
Spring 2017
College of William and Mary
Lecture 20: The normal distribution
Introduction to Biostatistics (BIOL 327)
March 13, 2017
Spring 2017
College of William and Mary
Lecture 19: Contingency Analysis (Part 2)
Introduction to Biostatistics (BIOL 327)
March 3, 2017
Spring 2017
College of William and Mary
Mass extinctions with matrix/table
Introduction to Biostatistics (BIOL 327)
March 3, 2017
Spring 2017
College of William and Mary
Lecture 18: Contingency Analysis
Introduction to Biostatistics (BIOL 327)
March 1, 2017
Spring 2017
College of William and Mary
Mass extinctions with dplyr and tidyr
Introduction to Biostatistics (BIOL 327)
March 1, 2017
Spring 2017
College of William and Mary
How do I get P-values and critical values from R?
Introduction to Biostatistics (BIOL 327)
March 1, 2017
Spring 2017
College of William and Mary
Lecture 17: Fitting probability models to frequency data (Part 2)
Introduction to Biostatistics (BIOL 327)
February 27, 2017
Spring 2017
College of William and Mary
Lecture 16: Fitting probability models to frequency data (Part 1)
Introduction to Biostatistics (BIOL 327)
February 24, 2017
Spring 2017
College of William and Mary
Lecture 15: Analyzing Proportions (Part 2)
Introduction to Biostatistics (BIOL 327)
February 22, 2017
Spring 2017
College of William and Mary
Lecture 14: Analyzing Proportions (Part 1)
Introduction to Biostatistics (BIOL 327)
February 22, 2017
Spring 2017
College of William and Mary
Lecture 12: Hypothesis Testing
Introduction to Biostatistics (BIOL 327)
February 13, 2017
Spring 2017
College of William and Mary
Lecture 11: Questions, Hypotheses, and Predictions
Introduction to Biostatistics (BIOL 327)
February 10, 2017
Spring 2017
College of William and Mary
Lecture 10: Probability (Part 2)
Introduction to Biostatistics (BIOL 327)
February 8, 2017
Spring 2017
College of William and Mary
Lecture 9: Probability
Introduction to Biostatistics (BIOL 327)
February 6, 2017
Spring 2017
College of William and Mary
Lecture 8: Estimating with Uncertainty (Part 2)
Introduction to Biostatistics (BIOL 327)
February 3, 2017
Spring 2017
College of William and Mary
Lab #3 Discussion: R-Markdown and Programming
Introduction to Biostatistics (BIOL 327)
February 2, 2017
Spring 2017
College of William and Mary
Lecture 7: Estimating with Uncertainty
Introduction to Biostatistics (BIOL 327)
February 1, 2017
Spring 2017
College of William and Mary
Lecture 6: Descriptive Statistics
Introduction to Biostatistics (BIOL 327)
January 27, 2017
Spring 2017
College of William and Mary
Lecture 5: Visualizing Data (Part 2)
Introduction to Biostatistics (BIOL 327)
January 27, 2017
Spring 2017
College of William and Mary
Lecture 4: Visualizing Data
Introduction to Biostatistics (BIOL 327)
January 25, 2017
Spring 2017
College of William and Mary
Lecture 3: What is Statistics?
Introduction to Biostatistics (BIOL 327)
January 23, 2017
Spring 2017
College of William and Mary
Lecture 2: Intro to Data & Experimental Design
Introduction to Biostatistics (BIOL 327)
January 20, 2017
Spring 2017
College of William and Mary
Lecture 1: Intro to Course
Introduction to Biostatistics (BIOL 327)
January 18, 2017
Spring 2017
College of William and Mary
Introduction to Systems Biology (cont'd)
from Introduction to Quantitative Biology
College of William and Mary
Fall 2016
Introduction to Systems Biology
Chapter 1: Ingalls
Introduction to Quantitative Biology
College of William and Mary
Fall 2016
Natural Selection
Introduction to Quantitative Biology
Fall 2016
In Silico Experimentation (cont'd)
Railsback & Grimm, Chapter 8
Introduction to Quantitative Biology
Fall 2016
In Silico Experimentation
Railsback & Grimm, Chapter 8
Introduction to Quantitative Biology
Fall 2016
Testing your program (cont'd)
Railsback & Grimm, Chapter6
Introduction to Quantitative Biology
Fall 2016
Testing your program
Railsback & Grimm, Chapter 6
Introduction to Quantitative Biology
Fall 2016
Implementing and Testing an Agent-Based Model
Railsback & Grimm, Chapters 3-5
Introduction to Quantitative Biology
Fall 2016
Describing and Formulating ABMs: The ODD Protocol
Introduction to Quantitative Biology
Fall 2016
The College of William and Mary
Introduction to Agent-Based Modeling (ABM)
Introduction to Quantitative Biology
Fall 2016
Information Theory: Practice
Working through hardening cement data.
Introduction to Quantitative Biology
Fall 2016
Parsimony and Collinearity
Chapter 2: Anderson, Model Based Inference in the Life Sciences
Introduction to Quantitative Biology
College of William and Mary
Fall 2016
Data and Models
Chapter 2: Anderson, Model Based Inference in the Life Sciences
Introduction to Quantitative Biology
College of William and Mary
Fall 2016
Multiple regression
OpenStats: Chapter 8
Introduction to Quantitative Biology
College of William and Mary
Fall 2016
Linear Regression
BIOL 325: Introduction to Quantitative Biology
Fall 2016
College of William and Mary
M. Drew LaMar
Errors in Hypothesis Testing; Linear Regression
Introduction to Quantitative Biology
Fall 2016
M. Drew LaMar
Central Limit Theorem and Hypothesis Testing
Introduction to Quantitative Biology
Fall 2016
M. Drew LaMar
OpenIntro Statistics: Chapter 4
Sampling Distributions and Confidence Intervals
M. Drew LaMar
Introduction to Quantitative Biology
Fall 2016
OpenIntro Statistics: Chapter 4
Intro to Statistical Inference
Lecture Slides (08-31-2016)
M. Drew LaMar
Introduction to Quantitative Biology, Fall 2016
College of William and Mary
Intro to Models and Modeling
Lecture Slides
Introduction to Quantitative Biology, Fall 2016
College of William and Mary
Introduction to Biostatistics at William and Mary - Spring 2016
Wasserstein, Ronald L., and Nicole A. Lazar. "The ASA's statement on p-values: context, process, and purpose." The American Statistician just-accepted (2016).
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 18: Multiple explanatory variables (cont'd)
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 18: Multiple explanatory variables (cont'd)
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 18: Multiple explanatory variables
Multiple explanatory variables: R code for Chapter 18 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode18
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 17: Regression (cont'd)
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 17: Regression
Regression: R code for Chapter 17 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode17
Correlation between numerical variables: R code for Chapter 16 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode16
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 15: Correlation between numerical variables
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 15: The analysis of variance (cont'd)
Planned, unplanned comparisons, and random effects ANOVA
Comparing means of more than two groups: R code for Chapter 15 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode15
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 15: The analysis of variance
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 15: The analysis of variance (Part II)
Up to planned and unplanned comparisons
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 13: Handling violations of assumptions (cont'd)
Handling violations of assumptions: R code for Chapter 13 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode13
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 13: Handling violations of assumptions
Introduction to Biostatistics at William and Mary - Spring 2016
Ruxton & Colegrave, Chapter 3: Between-individual variation, replication, and sampling
Introduction to Biostatistics at William and Mary - Spring 2016
Ruxton & Colegrave, Chapter 3: Between-individual variation, replication, and sampling
Comparing two means: R code for Chapter 12 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode12
Inference for a normal population: R code for Chapter 11 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode11
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 12: Comparing two means
Two-sample t-test; Welch's t-test
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 12: Comparing two means
Paired designs
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 11: Inference for a normal population
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 10: The normal distribution
The normal distribution: R code for Chapter 10 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode10
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 9
Contingency analysis: R code for Chapter 9 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode09
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 8: Fitting probability models to frequency data
Whitlock & Schluter, Chapter 9: Contingency analysis
Fitting probability models to frequency data: R code for Chapter 8 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode08
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 8 (cont'd)
PDF, CDF, CCDF, QF, and CQF
Introduction to Biostatistics at William and Mary - Spring 2016
Errors in hypothesis testing and statistical power
Whitlock & Schluter, Chapter 8: Fitting probability models to frequency data
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 7: Analyzing proportions
Binomial distribution and binomial test
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 7: Analyzing proportions
Introduction to Biostatistics at William and Mary - Spring 2016
Bayes Theorem and Medical Testing
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 7: Analyzing proportions
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 6: Hypothesis testing
Hypothesis testing: R code for Chapter 6 examples
This document was converted to R-Markdown by M. Drew LaMar from http://whitlockschluter.zoology.ubc.ca/r-code/rcode06.
Introduction to Biostatistics at William and Mary - Spring 2016
Ruxton & Colegrave, Chapter 2: Starting with a well-defined hypothesis
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 5: Probability (cont'd)
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 5: Probability
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 4: Estimating with uncertainty
Introduction to Biostatistics at William and Mary - Spring 2016
Introduction to course
Introduction to Biostatistics at William and Mary - Spring 2016
Ruxton & Colegrave, Chapter 1: Why you should care about design
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 1: Statistics and samples
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 2: Displaying data
Introduction to Biostatistics at William and Mary - Spring 2016
Whitlock & Schluter, Chapter 4: Estimating with uncertainty
Introduction to Quantitative Biology at William and Mary - Spring 2016
Descriptive statistics
Whitlock & Schluter, Chapter 3
Estimating with uncertainty: R code for Chapter 4 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode04
Describing data: R code for Chapter 3 examples
from textbook "The Analysis of Biological Data", by Whitlock and Schluter
Original R code located at http://whitlockschluter.zoology.ubc.ca/r-code/rcode03
Displaying data: R code for Chapter 2 examples
from textbook "The Analysis of Biological Data", by Whitlock & Schluter
Original R code available at http://whitlockschluter.zoology.ubc.ca/r-code/rcode02
Data visualization (Part 2)
Course: Introduction to Biostatistics at The College of William and Mary, Spring 2016