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Self-study on Larry Wasserman's "All of Statistics"
Methods for Specifying, Simulating from and Fitting Causal Models
Simulation code for the paper 'Bootstrap Inference for Multiple Imputation under Uncongeniality and Misspecification'
Code for paper entitled: Estimating Risk Ratios and Risk Differences Using Regression
Building a Survival Model in Stan.
Bayesian variable selection for survival data (tutorial)
An R package for conducting sensitivity analyses for unmeasured confounders
Some Additional Multiple Imputation Functions, Especially for 'mice'.
⚡ Base R shortcuts: A collection of lesser-known but powerful idioms and coding patterns for writing concise and fast R code
Quarto-based template for designing websites of university courses.
A Julia port of the R code from Bjornstad's Epidemics: Models and Data Using R
A beginner's guide to setting up a development environment on macOS
Examples of how to create colorful, annotated equations in Latex using Tikz.
Analysis of simulation studies including Monte Carlo error
Causal Inference in R: A book!
Bayesian Data Analysis course at Aalto
Working through "Regression and other stories," one chapter at a time
Some teaching material and other educational resources
A minimalist and elegant presentation theme for Quarto Reveal.js
risks: R package for estimating risk ratios and risk differences using regression
Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)