Tool to extract causal relationships from biological and medical databases that are in tabular format
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Updated
May 1, 2023 - R
Tool to extract causal relationships from biological and medical databases that are in tabular format
R code for causal graph animations
Supplementary Materials for ``Quantitative Social Science: An Introduction''
Tools for sensitivity analysis for weighted estimators
An R package for learning context-specific causal models, called CStrees, based on observational, or a mix of observational and interventional, data.
R companion to Angrist Pischke Mostly Harmless econometrics
Analysis on the quality and determinants of economic forecasts pre-Covid 19
Code to accompany and provide results for "Causal Queries from Observational Data in Biological Systems with Bayesian Networks: An Empirical Study in Small Networks"
'A brief introduction to causal assumptions in statistical models' presentation for the James Cook University CodeR group based in Townsville and Cairns, Australia.
Replicating papers from the epidemiology and causal inference literature.
Causal Discovery between Manufacturer-Retailer price channels
learnr tutorial package for Quantitative Social Science
Ce Travail vise à reproduire les méthodes statistiques utilisées dans un article de recherche qui a exploré l’impact de COVID-19 sur la volatilité de l’indice boursier marocain (MASI).
A FOSS course cultivating the skills and understanding necessary to bring value to organisations by improving decision-making
Shiny app illustrating the cholesterol example for the Simpson's paradox in Glymour et al. (2016, Section 1.2)
CausalVerse: An R toolkit expediting causal research & analysis. Streamlines complex methodologies, empowering users to unveil causal relationships with precision. Your go-to for insightful causality exploration.
R code for Angrist & Pischke Mastering Metrics
Inference in instrumental variables models robust to many instruments
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