Jake Bowers Research Group at the University of Illinois's repositories
bowershansen-CI-course
Source files for Jake and Ben and Tom's causal inference course materials
short-course-causal
Short Course on Causal Inference
learningdays
Materials for EGAP Learning Days.
Research-Group-Bibliography
This is a bibtex file perhaps useful as a seed to grow a better shared bibliography file (or set of files)
egap-data-workflow
A guide to working with experimental data for the EGAP website
sensitivityObs
Functions to assess the sensitivity of inferences from observational studies to unobserved confounders.
uips-stat-share
Shared resources for stats for students in Political Science at the University of Illinois
behaviorchange
A one pager on behavior change for non-academics.
bowers-wong-lab-sop
Here we try to document how we work. This should help newcomers to the group and other collaborators as well.
DesignLibrary
Library of Research Designs
designmatch
:exclamation: This is a read-only mirror of the CRAN R package repository. designmatch — Matched Samples that are Balanced and Representative by Design
egap-latex-guide
A place to create a 10 Things Guide about Latex and scientific writing for the EGAP methods guides series.
energy
energy package for R
generalization
Arguing for a more clear and useful way to think about learning across studies, or at least, to avoid being confused about how to think about learning from one study to another.
heiss-causal-inference
Chapter on causal inference for *R for Political Data Science: A Practical Guide*
learningdays-resources
A repository for slides and other resources (like images and other documents).
linux_work_environment
A repository with information about current packages and software we use on linux clusters and workstations
manytestsr
An R package companion to the manytests paper and repo
methods-guides
EGAP methods guides
OES-Matching-Guide
A guide to using matching techniques for impact evaluation
QualtricsMapping
A method to gather respondent drawn maps in a Qualtrics survey.
short-course-field-experiments
A short course on the statistics of field experiments
test_performance_sims
A project to assess how well our new statistical tests perform.