This is part 3 on how to construct a presentation using R Markdown. This part will focus on changing font colors.

A survival analysis tutorial addressing immortal time bias using a time-varying predictor in Stata

A tutorial on how to construct a Markov model using Excel.

This is a tutorial on MEPS and my notes that I found helpful.

A tutorial on how to perform simple trend analysis with R using linear regression models.

A tutorial on how to perform simple trend analysis with R using linear regression models.

This is a tutorial on how to apply the MEPS link file to merge the conditions and events files in R

A tutorial on constructing ITSA models using Stata

A tutorial on performing exact matching using the MatchIt package in R.

This is the second in a series of how to create an e-book using bookdown

Tutorial on how to build a book using the R bookdown package.

This is the second part of a series on how to create presentation using R Markdown.

This is a tutorial on how to construct a Tweedie GLM Gamma model using an identity link for costs data. I used the MEPS data from 2020 for this tutorial.

This R tutorial review how to use the two-part model for cost data.

This is the first tutorial on how to construct an HTML presentation using R Markdown.

Short explanation of how to interpret regression coefficients

This is a tutorial on how to apply survey weights with MEPS data in R

This is a tutorial on how to merge MEPS data files with R.

This is a tutorial on how to load MEPS data into R.

This is a Stata tutorial on how to add 95% CI to a two-way line plot.

A tutorial on using plotly in an R Markdown project.

A short tutorial on using the epiR package to estimate sample size for a case-control trial based on the odds ratio.

Tutorial on using R to perform survival analysis

This is a tutorial on how to use R to build and validate linear regression models

R tutorial on confounding and interaction using epitools and epiR package

This is a tutorial on how perform some basic sample size estimates and power analysis using the R "pwr" package.

This is the second part of how to perform logistic regression in R. I focus on using goodness of fit tests to determine if the logistic regression model we specified is a good fit of the observed data.

This is a tutorial on how to construct logistic regression models in R.

A brief R tutorial on how to visualize the output of linear regression models.

Tutorial on how to create forest plots in R

This decision tree model uses R to generate the incremental cost, incremental outcomes, and incremental cost-effectiveness ratio. It also include R code for performing a one-way sensitivity analysis and constructing a tornado diagram.

Simple example illustrating the benefits of applying inverse probability of treatment weights fitted to a marginal structural model.

This is a short exercise created by BC Mullins for the bayesAB package.

This is a tutorial to perform meta-analyses using Bayesian methods with JAGS in the R environment.