Handbook of Missing Data Methodology (eBook, ePUB)

Redaktion: Molenberghs, Geert; Verbeke, Geert; Tsiatis, Anastasios; Kenward, Michael G.; Fitzmaurice, Garrett

• Format: ePub

Produktbeschreibung

This handbook presents many methodological advances and the latest applications of missing data methods in empirical research. It outlines a general taxonomy of missing data mechanisms and their implications for analysis and describes alternatives for estimating models when data are missing. The book covers a range of approaches that assess the sensitivity of inferences to alternative assumptions about the missing data process. It also discusses how to handle missing data in clinical trials and sample surveys.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 6. November 2014
• Englisch
• ISBN-13: 9781040061190
• Artikelnr.: 72518957

Autorenporträt

Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

Inhaltsangabe

Preliminaries. Likelihood and Bayesian Methods, Semiparametric Methods. Multiple Imputation. Sensitivity Analysis. Special Topics. Index.

Rezensionen

"There is evidence of a strong editorial hand-each chapter begins with a table of contents; the notation is surprisingly well standardized for a work by 20 authors; and the number of typos is modest. The chapters refer to each other, but one can read them independently and in any order...This handbook summarizes the authors' research on a range of missing-data problems of contemporary interest. Methodologists who seek a one-volume entry point into the field will find it useful."
-Journal of the American Statistical Association, May 2016