Missing data in longitudinal studies: strategies for bayesian modeling and sensitivity analysis
Auteur :
Daniels, Michael J. / Hogan, Joseph W.
Éditeur :
Taylor & Francis Inc
ISBN :
9781584886099
Date de publication :
11 mars 2008
Dimensions :
23,4 x 15,6 cm
Poids :
640 g
Langue :
Anglais
Pays d'origine :
USA
Offers a unified Bayesian approach to handle missing data in longitudinal studies. This book contains examples and case studies on aging and HIV. It describes assumptions that include MAR and ignorability, demonstrate the importance of covariance modeling with incomplete data, and cover mixture and selection models for nonignorable missingness.