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Missing Data in Longitudinal Studies
Language: en
Pages: 324
Authors: Michael J. Daniels
Categories: Mathematics
Type: BOOK - Published: 2008-03-11 - Publisher: CRC Press

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Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling an
Applied Longitudinal Data Analysis for Epidemiology
Language: en
Pages: 337
Authors: Jos W. R. Twisk
Categories: Medical
Type: BOOK - Published: 2013-05-09 - Publisher: Cambridge University Press

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A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.
Longitudinal Data Analysis
Language: en
Pages: 633
Authors: Garrett Fitzmaurice
Categories: Mathematics
Type: BOOK - Published: 2008-08-11 - Publisher: CRC Press

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Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between vario
Flexible Imputation of Missing Data, Second Edition
Language: en
Pages: 444
Authors: Stef van Buuren
Categories: Mathematics
Type: BOOK - Published: 2018-07-17 - Publisher: CRC Press

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Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, w
Longitudinal Data Analysis
Language: en
Pages: 407
Authors: Jason Newsom
Categories: Psychology
Type: BOOK - Published: 2013-06-19 - Publisher: Routledge

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This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis to