Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Statistics (SSS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
Keywords
About this book
Reviews
From the reviews:
"This book provides a rigourous statistical framework for the analysis of complex large longitudinal data. It provides a comprehensive description of optimal estimation techniques based on time-dependent data structures … . This is an excellent book for Ph.D. level students in Biostatistics and Statistics who have a strong background in mathematics. It is also suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data." (Subhash C. Kochar, Sankhya: The Indian Journal of Statistics, Vol. 66 (1), 2004)
"This book provides a fundamental statistical framework for the analysis of complex longitudinal data. It provides the first comprehensive description of optimal estimation techniques based on time-dependent data structures … . The book can be used to teach masters-level and Ph.D. students in biostatistics and statistics and is suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data." (P. Rochus, Mathematical Reviews, 2003m)
"This book by two major research workers in the field addresses in generality important problems involving multivariate longitudinal data … . it is an important book dealing with important problems. Therefore, experts in modern semi-parametric theory should certainly read the book. Those with an interest focussed more on applications and able to draw together a reading group with appropriate expertise are very likely to profit greatly from a sustained study of the book." (D.R. Cox, Short Book Reviews, Vol. 23 (2), 2003)
Authors and Affiliations
Bibliographic Information
Book Title: Unified Methods for Censored Longitudinal Data and Causality
Authors: Mark J. Laan, James M. Robins
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-0-387-21700-0
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2003
Hardcover ISBN: 978-0-387-95556-8Published: 14 January 2003
Softcover ISBN: 978-1-4419-3055-2Published: 26 May 2011
eBook ISBN: 978-0-387-21700-0Published: 12 November 2012
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 1
Number of Pages: XII, 399
Number of Illustrations: 2 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences