Alex Yorov·Mar 16Medical Stats — Causal Inference and Confounding ControlPropensity scores, average treatment effect, average treatment effect in the treated, instrumental variables, standardized mean difference…A response icon1A response icon1
Arun Subramanian·Oct 7, 2024Causal Inference — Regression Discontinuity DesignIntroductionA response icon1A response icon1
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Wins with Data·Oct 19, 2022Set up Random Data for Regression using Data Simulation in order to Run Regression in Two Ways in…A tutorial on how to generate random data for linear regression in python. This is a python tutorial to set up or generate random sample…
InGrabNGoInfobyAmy @GrabNGoInfo·Sep 21, 2022Hyperparameter Tuning for Time Series Causal Impact Analysis in PythonHyperparameter tuning for Google’s Python package CausalImpact on time series intervention with Bayesian Structural Time Series Model…
InGrabNGoInfobyAmy @GrabNGoInfo·Aug 30, 2022Subclassification Propensity Score Matching Using Python Package Causal InferencePropensity score estimation, subclassification matching, and treatment effect estimation
InGrabNGoInfobyAmy @GrabNGoInfo·Aug 29, 2022OLS Treatment Effects Estimation Using Python Package Causal InferenceEstimate treatment effects using ordinary least squares (OLS) in PythonA response icon1A response icon1
InTDS ArchivebyShaw Talebi·Aug 22, 2022Causal EffectsWhat is a treatment effect and how to compute it?A response icon3A response icon3
InGrabNGoInfobyAmy @GrabNGoInfo·Aug 19, 2022ATE vs CATE vs ATT vs ATC for Causal InferenceAverage Treatment Effect (ATE), Conditional Average Treatment Effect (CATE), Average Treatment Effect on the Treated (ATT), and Average…
Seungjun (Josh) Kim·Aug 18, 2022Overview and Essential Concepts in Causal InferenceCausal Inference is key to understanding effects of treatments, interventions and policies
