This analysis compares the standard Cox proportional hazards model with a flexible parametric Royston–Parmar model using the lung cancer dataset from the survival package. We fit both models using age and sex as covariates, extract the cumulative baseline hazard from the Cox model, estimate the hazard function from the Royston–Parmar model, and visualize both on the same graph for comparison. The study highlights differences between stepwise and smooth hazard estimates and demonstrates the interpretability of flexible parametric survival models.

NOAA Storm Data Analysis: Population & Economic Impacts

This R Markdown report simulates a data set in which ExamScore is positively associated with HoursStudied. It then examines the relationship using a Pearson correlation test, a simple linear regression model, and a set of diagnostic plots.

2023-2025年度30个省份、差异化检验蜂群图+配对连线