Handbook of Matching and Weighting Adjustments for Causal Inference Taylor & Francis Ltd

This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the robustness of model-based adjustments. The book is for researchers in medicine, economics, public health, psychology, epidemi...