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.

Sommario

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

Info autore

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

Dettagli sul prodotto

• Autori: Geert (Hasselt University Molenberghs, Geert (Universiteit Hasselt & Ku Leuv Molenberghs, Geert Fitzmaurice Molenberghs
• Con la collaborazione di: Garrett Fitzmaurice (Editore), Fitzmaurice Garrett (Editore), Michael G Kenward (Editore), Michael G. Kenward (Editore), Kenward Michael G. (Editore), Geert Molenberghs (Editore), Molenberghs Geert (Editore), Anastasios Tsiatis (Editore), Geert Verbeke (Editore), Verbeke Geert (Editore)
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 06.11.2014
• EAN: 9781439854617
• ISBN: 978-1-4398-5461-7
• Pagine: 598
• Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Scienze umane, arte, musica > Psicologia > Fondamenti; PSYCHOLOGY / Research & Methodology, Psychological methodology