Analysis of Longitudinal Data (Oxford Statistical Science Series)

Peter Diggle, Patrick Heagerty, Kung-Yee Liang, Scott Zeger

ISBN 10: 0198524846 / ISBN 13: 9780198524847

Published by PRACTITIONER LAW, 2002

About this Item

Neu Neuware, Importqualität, auf Lager, Sofortversand - The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for time-dependent predictors where there may be feedback between the predictor and response variables. It also contains the many useful features of the previous edition such as, design issues, exploratory methods of analysis, linear models for continuous data, and models and methods for handling data and missing values.

Seller Inventory # INF1000237169

Bibliographic Details

• Title: Analysis of Longitudinal Data (Oxford Statistical Science Series)
• Publisher: PRACTITIONER LAW
• Publication Date: 2002
• Language: English
• ISBN 10: 0198524846
• ISBN 13: 9780198524847
• Binding: Gebundene Ausgabe
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 243W x 164H x 26D millimeters 243 millimeters width by 164 millimeters height by 26 millimeters depth
• Weight: 728 grams

About this title

Synopsis

The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for time-dependent predictors where there may be feedback between the predictor and response variables. It also contains the many useful features of the previous edition such as, design issues, exploratory methods of analysis, linear models for continuous data, and models and methods for handling data and missing values.

About the Author

Peter Diggle is in the Department of Mathematics and Statistics, University of Lancaster. Patrick Heagerty is in the Biostatistics Department, University of Washington. Kung-Yee Liang and Scott Zeger are both in the Biostatistics Department, Johns Hopkins University.