Dynamic Mixed Models for Familial Longitudinal Data, Brajendra C. Sutradhar

Название: Analysis of longitudinal data
ISBN: 0199676755 ISBN-13(EAN): 9780199676750
Издательство: Oxford Academ
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Цена: 55970.00 T
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Описание: 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. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

Автор: Jos W. R. Twisk
Название: Applied Longitudinal Data Analysis for Epidemiology
ISBN: 0521525802 ISBN-13(EAN): 9780521525800
Издательство: Cambridge Academ
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Цена: 47520.00 T
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Описание: In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalised estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. It should be stressed that the emphasis of the discussion lies on the interpretation of the different techniques and on the comparison of the results of different techniques. Furthermore, special chapters will deal with the analysis of two measurements, experimental studies and the problem of missing data in longitudinal studies. Finally, an extensive overview of (and a comparison between) different software packages is provided. It is important to realise that this book is a practical guide and especially suitable for non-statisticians.

Автор: Rizopoulos Dimitris
Название: Joint Models of Longitudinal and Time-to-Event Data
ISBN: 1439872864 ISBN-13(EAN): 9781439872864
Издательство: Taylor&Francis
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Описание:

In follow-up studies it is often of interest to investigate how a longitudinal outcome that is repeatedly measured in time is associated with a time to an event of interest. Typical examples in this setting come from biomarker research, such as HIV studies where longitudinal CD4 cell counts and viral load are collected in conjunction to the time-to-death, and prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence.

This book is the first providing a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models. All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author.

Автор: Geert Molenberghs; Geert Verbeke
Название: Models for Discrete Longitudinal Data
ISBN: 1441920439 ISBN-13(EAN): 9781441920430
Издательство: Springer
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Описание: The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book.