Must-read papers and resources related to causal inference and machine (deep) learning
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Updated
Nov 23, 2022
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
A public benchmark of 50 real-world RCT datasets (29,094 participants) with standardized variables, trial metadata, demographics, and pre-computed covariate-adjustment results, plus R pipelines for data cleaning and analysis.
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
Implementation for the paper "Efficient Randomized Experiments Using Foundation Models"
Analyze the effects of seasonal migration on household consumption and expenditures in rural Bangladesh from a randomized control trial.
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"
Automatic synthesis of Randomized-controlled-trials (RCTs).
API Client for the 'ClimMob' platform in R
Replication code for "Estimating population average treatment effects from experiments with noncompliance"
Personalized Pre-Session Preparation to Improve Engagement in Early Autism Intervention: A Bayesian Adaptive Randomized N-of-1 Trial
Derive rejection boundaries for RCTs with inconsistent covariate adjustment
Experiments showing the profit efficiency of targeted randomized sampling in comparison to standard A/B testing
Interactive Stepped-Wedge Cluster Randomised Trial Data Analysis Tool
Estimation of covariate interactions and subgroup-specific treatment effects in meta-analysis.
Standalone R pipeline for paired SomaScan plasma proteomics from a randomized probiotic trial in obesity. Includes data harmonization, quality control, change-score and longitudinal modeling, multivariate analyses, nested cross-validation, clustering, protein modules, and integrated candidate prioritization.
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