Bayesian Methods for Repeated Measures

Lyle D. Broemeling

ISBN 10: 1138894044 / ISBN 13: 9781138894044

Verlag: Chapman And Hall/CRC, 2018

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - This practical book presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for analyzing repeated measures in various scientific areas, especially biostatistics. The author bases all the computing and analysis on the WinBUGS package, which provides readers with a platform that efficiently uses prior information. The book includes the WinBUGS code needed to implement posterior analysis and offers the code for download online.

Bestandsnummer des Verkäufers 9781138894044

Bibliografische Details

• Titel: Bayesian Methods for Repeated Measures
• Verlag: Chapman And Hall/CRC
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 1138894044
• ISBN-13: 9781138894044
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This practical book presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for analyzing repeated measures in various scientific areas, especially biostatistics. The author bases all the computing and analysis on the WinBUGS package, which provides readers with a platform that efficiently uses prior information. The book includes the WinBUGS code needed to implement posterior analysis and offers the code for download online.

Über die Autorin bzw. den Autor

Lyle D. Broemeling has 30 years of experience as a biostatistician. He has been a professor at the University of Texas Medical Branch at Galveston, the University of Texas School of Public Health at Houston, and the University of Texas MD Anderson Cancer Center. He is also the author of several books, including Bayesian Methods in Epidemiology. His research interests include the analysis of repeated measures and Bayesian methods for assessing medical test accuracy and inter-rater agreement.