7.5 - Sensitivity Analysis Basics
7.6 - More Flexible Sensitivity Analysis
Sensitivity Analyses for Unmeasured Variables
7 - Unobserved Confounding, Bounds, and Sensitivity Analysis
Tutorial | Bayesian causal inference: A critical review and tutorial (Standard Format)
Tobias Freidling (University of Cambridge): Sensitivity Analysis with the R^2-calculus
Sensitivity Analysis of Linear Structural Causal Models - ICML 2019 - Carlos Cinelli
Causal Inference in Python: Theory to Practice
Tutorial | Bayesian causal inference: A critical review and tutorial (360°)
7.1 - Unobserved Confounding, Bounds Intro, and Lecture Outline
Carlos Cinelli An Omitted Variable Bias Framework for Sensitivity Analysis of Instrumental Variables
Zhimei Ren: Sensitivity Analysis of Individual Treatment Effects
Jonathan Roth "Testing and Sensitivity Analysis for Parallel Trends"
VRLC Course Trailer: Sensitivity Analysis
Causality for Psychologists and Social Scientists - 09 Sensitivity Analysis
Causal Inference 1: Concepts of Causation
Carlos Cinelli: Transparent and Robust Causal Inference in the Social and Health Sciences
Tutorial: Causal Scenarios for Google Sheets
Fabrizia Mealli: Bayesian causal inference: a potential outcome perspective with applications to...
useR! 2020: Causal inference in R (Lucy D'Agostino McGowan, Malcom Barrett), tutorial