By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives.
Diggle, P.J., Heagerty, P., Liang, K.-Y. and Zeger, S.L. (2002). Analysis of Longitudinal Data, 2nd ed. ... Dockery, D.W., Berkey, C.S., Ware, J Speizer, F.E. and Ferris, B.G. (1983). Distribution of FVC and FEV1 in children 6 to ll ...
Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.
Furthermore, as noted by Allison [1982], the regression coeflicients of the model are invariant to interval length. ... In the ordinal treatment, survival time is represented by the ordered outcome Y,-j, which is designated as being ...
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.
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.
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 ...
"This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies.
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.
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 ...