Handbook of Missing Data Methodology

ISBN-13: 9780367739294 / Angielski / Miękka / 2020 / 598 str.

Geert Molenberghs; Garrett Fitzmaurice; Michael G. Kenward

Opis

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

Recenzje

"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

Spis treści

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

O autorze

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