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ca_dropout_rates

A study of dropout rates in CA high schools.

causal_fall_2020

Course website for STAT 451: Causal Inference at Macalester College (Fall 2020, Module 1)

causal_inference_julia_code

Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal_inference_python_code

Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins

causal_inference_tweetorials

causal_salad_2021

One day course on causal inference, MPI-EVA 9 September 2021

causal_sim

Simulating longitudinal data from marginal structural models using the additive hazards model. https://arxiv.org/abs/2002.03678

causal_spring_2020

Website for Causal Inference at Macalester College (Spring 2020)

causalinference-1

causalinference.jl

Causal inference, graphical models and structure learning with the PC algorithm.

causalinferencebook_stata

Stata code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins

causalinferenceworkshop

causality

A small repo in which I play with the ideas of causal modelling.

causality-1

causality-papers

causalityslides

Slides for the Seattle University Causal Inference Class

causallab

A student activity for introductory statistics courses using causal inference methods.

causalmediation

Implementation of Causal Mediation Analysis as published by Valeri and VanderWeele (2013, doi: 10.1037/a0031034)

causalsens

A sensitivity analysis package for causal effects

causalsurvivalanalysis

causalsurvivalworkshop_2019

cause-webinar

Materials for CAUSE Webinar on: Causal Inference: Why We Should and How We Can Teach it in Introductory Courses

cbe30338

Chemical Process Control

cbe40455

Process Operations

cc-11-shiny

Using Shiny to produce interactive web-apps

cc-3-datamanip

Using tidyr, dplyr and piping for easy and efficient data manipulation

cc-4-datavis

Beautiful and informative data visualisation

cc-6-maps

Using R to produce map figures and display spatial data

cc-linear-mixed-models

Introduction to linear mixed models

cc-qualit

Analysing ordinal data, surveys, and count data