Must-read papers and resources related to causal inference and machine (deep) learning

PubMed 200k RCT dataset: a large dataset for sequential sentence classification.

Flowchart is a STATA module/package that generates publication-quality Subject Disposition Flowchart Diagrams in LaTeX Format. This package generates PGF/TikZ code through texdoc, compiled in LaTeX to produce the diagram as a PDF. The final diagram is the same in style as ones used in the PRISMA Statement, CONSORT 2010 Statement, or STROBE State…

CRAN Task View: Causal Inference

This repository provides open-source best practices for for conducting geographic randomized controlled trials (Geo RCTs) for measuring incremental sales effect of advertising cammpaigns. It includes details on one design type in particular, a multi-armed stepped experimental design that has particular advantages in terms of statistical strength.

Web application to run meta-analyses

Analyze the effects of seasonal migration on household consumption and expenditures in rural Bangladesh from a randomized control trial.

Implementation for the paper "Efficient Randomized Experiments Using Foundation Models"

Implementing standard econometric models using Stochastic Gradient Descent and Perceptrons instead of MLE and GMM.

Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"

Replication code for "Estimating population average treatment effects from experiments with noncompliance"

API Client for the 'ClimMob' platform in R

Experiments showing the profit efficiency of targeted randomized sampling in comparison to standard A/B testing

Derive rejection boundaries for RCTs with inconsistent covariate adjustment

Interactive Stepped-Wedge Cluster Randomised Trial Data Analysis Tool

Shiny app for analysis of randomized clinical trials

Comparison of treatment effect in Randomized Control Trial (RCT) and Propensity Score Matching methods, conducted on Large-Scale Dataset by 'Criteo'.

Estimation of covariate interactions and subgroup-specific treatment effects in meta-analysis.

A controlled randomized field experiment evaluating the effect of exposure to political news on Americans’ stress levels.

Sketches Business Model Canvas, discusses A/B testing and randomized control trials (RCTs), codes a proof-of-concept in Python.