Handbook of Matching and Weighting Adjustments for Causal Inference

Released on by José R. Zubizarreta
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  • Handbook of Matching and Weighting Adjustments for Causal Inference Book Detail

  • Author : José R. Zubizarreta
  • Release Date : 2023-04-11
  • Publisher : CRC Press
  • Genre : Mathematics
  • Pages : 634
  • ISBN 13 : 1000850811
  • File Size : 27,27 MB
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Handbook of Matching and Weighting Adjustments for Causal Inference by José R. Zubizarreta PDF Summary

Book Description: An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate matching and weighting are two modern forms of adjustment. This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. Three additional chapters introduce the steps from association to causation that follow after adjustments are complete. 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, epidemiology, public program evaluation, and statistics who examine evidence of the effects on human beings of treatments, policies or exposures.

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Handbook of Bayesian Variable Selection

Handbook of Bayesian Variable Selection

File Size : 35,35 MB
Total View : 8292 Views
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Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant vari