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With its strong emphasis on multidisciplinary applications and the interpretation of results, Applied Longitudinal Analysis, Second Edition is an excellent book for courses on statistics in the health and medical sciences at the upper-undergraduate and graduate levels.
This book provides very broad coverage of modern methods for longitudinal data analysis from an applied perspective. The book is grouped into five parts: Introduction to Longitudinal and Clustered Data; Linear Models for Longitudinal Continuous Data; Generalized Linear Models for Longitudinal Data; Missing Data and Dropout; and Advanced Topics for
Applied Longitudinal Analysis, based on the popular Harvard School of Public Health course of the same name, is a comprehensive and accessible treatment of modern statistical methods for analysis of longitudinal data.
Written at a technical level suitable for researchers and graduate students, Applied Longitudinal Analysis provides a rigorous and comprehensive description of modern methods for analyzing longitudinal data.
Written at a technical level suitable for researchers and graduate students, Applied Longitudinal Analysis provides a rigorous and comprehensive description of modern methods for analyzing longitudinal data. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of Generalized Linear Models for discrete ...
These links provide access to lecture slides developed by Garrett Fitzmaurice, Brent Coull, and Jim Ware for the course on “Applied Longitudinal Analysis” (BIO 226) at the Harvard School of Public Health.
These links provide access to lecture slides developed by Garrett Fitzmaurice, Brent Coull, and Jim Ware for the course on Applied Longitudinal Analysis (BIO 226) at the Harvard School of Public Health.
Applied Longitudinal Analysis, 2nd Edition Garrett M. Fitzmaurice Nan M. Laird James H. Ware Typos, Errors and Omissions: Despite our best efforts, the rst printing contains the following typos and errors. For your convenience, the errata is divided into two lists: (i) errata that may potentially cause
Clinical Trial of an Anti-Epileptic Drug: Final Interval Only (seizure-data.txt) (seizure.sas7bdat) (seizure.dta) Crossover Trial on Cerebrovascular Deficiency (ecg-data.txt) (ecg.sas7bdat) (ecg.dta) Clinical Trial of Contracepting Women (amenorrhea-data.txt) (amenorrhea.sas7bdat) (amenorrhea.dta) Clinical Trial of Contracepting Women ...
introduction to the concepts specific to longitudinal data, the methods for modeling are laid out in the two major parts: linear models for continuous longitudinal data and generalized linear models