Handbook of Matching and Weighting Adjustments for Causal Inference is popular PDF and ePub book, written by José R. Zubizarreta in 2023-04-11, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Handbook of Matching and Weighting Adjustments for Causal Inference can be Read Online from any device for your convenience.
Handbook of Matching and Weighting Adjustments for Causal Inference Book PDF Summary
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.
Detail Book of Handbook of Matching and Weighting Adjustments for Causal Inference PDF
- Author : José R. Zubizarreta
- Release : 11 April 2023
- Publisher : CRC Press
- ISBN : 9781000850819
- Genre : Mathematics
- Total Page : 634 pages
- Language : English
- PDF File Size : 16,8 Mb
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