Methods Resources
Brief Explainers
Balancing and difference-in-differences: theincidentaleconomist.com/wordpress/who-knew-difference-in-differences-could-be-so-complicated/
Calibration bias in prediction models: theincidentaleconomist.com/wordpress/bias-in-bias-out/
E-values and vaccine data: theincidentaleconomist.com/wordpress/using-e-values-to-strengthen-inferences-from-observational-vaccine-data/
Methods Tutorials and Research
Methods for Constructing and Assessing Propensity Scores: www.ncbi.nlm.nih.gov/pmc/articles/PMC4213057/
Propensity Scores: A Practical Method for Assessing Treatment Effects in Pain and Symptom Management Research: www.jpsmjournal.com/article/S0885-3924(14)00308-X/fulltext
Vector-Based Kernel Weighting: A Simple Estimator for Improving Precision and Bias of Average Treatment Effects in Multiple Treatment Settings: www.ncbi.nlm.nih.gov/pmc/articles/PMC8258782/
Understanding Treatment Effect Terminology in Pain and Symptom Management Research: www.jpsmjournal.com/article/S0885-3924(16)30111-7/fulltext
Choosing Models for Health Care Cost Analyses: Issues of Nonlinearity and Endogeneity: www.ncbi.nlm.nih.gov/pmc/articles/PMC3523380/
Stata Code
-vbkw- Vector-based kernel weighting - propensity score method for categorical treatments ideas.repec.org/c/boc/bocode/s459019.html
Making Sense of Observational Data (Presentation)