Analysis of Multiple Longitudinal Outcomes and Multiplicity Adjustment: Application of Quasi-Least Squares and Gatekeeping Strategies in Clinical Trials - Couverture souple

Kim, Han-Joo

 
9783639271409: Analysis of Multiple Longitudinal Outcomes and Multiplicity Adjustment: Application of Quasi-Least Squares and Gatekeeping Strategies in Clinical Trials
Couverture souple
ISBN 10 : 3639271408 ISBN 13 : 9783639271409
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Clinical trials often involve multiple endpoints that are clinically meaningful to determine efficacy and safety of the investigational medicinal product. These multiple outcomes are often measured over scheduled and/or unscheduled visits which add complexity when analyzing these types of data. This book is developed specifically to deal with multiple longitudinal outcomes in the framework of generalized estimating equations and their post-hoc multiplicity adjustment for the control of familywise error rate. The book covers a recent development and its extension of quasi-least squares to the application in clinical trials for the analysis of single and multiple longitudinal outcomes. A user-written SAS software with its complete code and manual are also provided to fit various models described in this book. The book further discusses issues of inflation of type I error when multiple hypotheses are tested simultaneously and provides a number of practical solutions to control the familywise type I error using the gatekeeping strategies that are emerging as an important direction of improvement in the analysis of clinical trial data.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Clinical trials often involve multiple endpoints that are clinically meaningful to determine efficacy and safety of the investigational medicinal product. These multiple outcomes are often measured over scheduled and/or unscheduled visits which add complexity when analyzing these types of data. This book is developed specifically to deal with multiple longitudinal outcomes in the framework of generalized estimating equations and their post-hoc multiplicity adjustment for the control of familywise error rate. The book covers a recent development and its extension of quasi-least squares to the application in clinical trials for the analysis of single and multiple longitudinal outcomes. A user-written SAS software with its complete code and manual are also provided to fit various models described in this book. The book further discusses issues of inflation of type I error when multiple hypotheses are tested simultaneously and provides a number of practical solutions to control the familywise type I error using the gatekeeping strategies that are emerging as an important direction of improvement in the analysis of clinical trial data.

Biographie de l'auteur

Senior Biostatistician at Forest Research Institute, Inc., earned his PhD in Biostatistics at the University of Pennsylvania. He has years of experience in design of experiments and data analysis. He has authored a number of publications, and is also the developer of the %QLS macro for implementation of quasi-least squares in SAS.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639271408
ISBN 13 
9783639271409
Reliure
Broché
Nombre de pages
232
Coordonnées du fabricant
non disponible
Personne responsable
non disponible