First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.
This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics.
Methods for Meta - Analysis in Medical Research TANAKA · Time Series Analysis : Nonstationary and Noninvertible Distribution Theory THOMPSON · Empirical Model Building THOMPSON - Sampling , Second Edition THOMPSON Simulation : A ...
From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods ...
Mojtabai , R. , Nicholson , R. A. , & Neesmith , D. H. ( 1997 ) . Factors affecting relapse in patients discharged from a public hospital : Results from survival analysis . Psychiatric Quarterly , 68 , 117–129 .
Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and ...
This text describes regression-based approaches to analyzing longitudinal and repeated measures data.
This book examines all the main approaches as well as newer developments (such as structural equation modelling, multilevel modelling and optimal scaling) to enable the reader to gain a thorough understanding of the approach and make ...
This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time.
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.
This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches.