Blog – Max Rohde

Code-breaking with Markov Chain Monte Carlo (MCMC)

Using cryptography to demonstrate the power of MCMC techniques in computational statistics

Logistic regression (by hand)

An in-depth dive into the workings of logistic regression.

Linear Algebra / Matrix Operations in R

Informal notes about common linear algebra / matrix operations in R

Using the tmerge() function to structure time-dependent covariates for survival analysis

The tmerge() function in the survival package is used to structure data to represent time-dependent variables in a survival analysis. This post shows a minimal example of how to use tmerge.

Sensitivity of odds-ratios calculated on dichotomized variables to inclusion criteria

A short simulation example showing why dichomization of continuous variables can lead to wrong conclusions.

Creating a bookdown book with the `bs4` theme

A short guide to creating a bookdown book using the bs4 theme

What is Gradient Descent? (Part I)

Exploring gradient descent using R and a minimal amount of mathematics

Statistical simulation of robust estimators with tidyverse tools

Functions from the tidyverse provide a powerful way to do statistical simulations. We demonstrate this approach by evaluating the properties of the mean and median as estimators of center for two distributions.”

Using `gganimate` to create cartographic animations

The gganimate package can be used with ggmap to create animations of geographic data. I show examples using data from Nashville Open Data.

Repeated testing inflates type I error

Type I error is increased when you test your hypothesis multiple times during the data collection process. Simulations can provide a clear picture of this process.

What is a statistic?

Exploring the idea of a statistic by simulating dice rolls in R