Handbook of Missing Data Methodology

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.

List of contents

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

About the author

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

Product details

• Authors: Geert (Hasselt University Molenberghs, Geert (Universiteit Hasselt & Ku Leuv Molenberghs, Geert Fitzmaurice Molenberghs
• Assisted by: Garrett Fitzmaurice (Editor), Michael G Kenward (Editor), Michael G. Kenward (Editor), Geert Molenberghs (Editor), Anastasios Tsiatis (Editor), Geert Verbeke (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 06.11.2014
• EAN: 9781439854617
• ISBN: 978-1-4398-5461-7
• No. of pages: 598
• Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
• Subjects: Humanities, art, music > Psychology > Basic principles; Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics