Applied Longitudinal Analysis Epub

Author: Nan M. Laird
Edition: 2
Publisher: Wiley
Binding: Kindle Edition
ISBN: B009WU0YYG

Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)

Praise for the First Edition

". Medical books Applied Longitudinal Analysis . . . [this book] should be on the shelf of everyone interested in . Medical books Applied Longitudinal Analysis Ebook. Buy Applied Longitudinal Analysis by Garrett M. Fitzmaurice,James H. Ware,Nan M. Laird and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!

Download link for Applied longitudinal analysis

Buy Applied Longitudinal Analysis by Garrett M. Fitzmaurice,James H. Ware,Nan M. Laird and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!

Applied Longitudinal Analysis (2nd Edition) by Fitzmaurice/ Fitzmaurice, Garrett M./ Laird, Nan M. [Hardcover]

Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a resource for their research. Thus, the improved Second Edition of Applied Longitudinal Analysis features many additions and revisions based on the feedback of readers, making it the go-to reference for applied use in public health, epidemiology, and pharmaceutical sciences.

Store Search search Title, ISBN and Author Applied Longitudinal Analysis, Second Edition by Garrett M. Fitzmaurice, Nan M. Laird, James H. Ware Estimated delivery 3-12 business days Format Hardcover Condition Brand New The book has been written at a technical level that is suitable for researchers who have taken an introductory course in statistics and who have a solid foundation in linear regression. Additional problem sets at provided at the end of each chapter to enhance the usefulness of th

Medical Book Applied Longitudinal Analysis

. . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis."
—Journal of the American Statistical Association

Features newly developed topics and applications of the analysis of longitudinal data

Applied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art techniques. The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sciences to the social and behavioral sciences.

The authors incorporate their extensive academic and research experience along with various updates that have been made in response to reader feedback. The Second Edition features six newly added chapters that explore topics currently evolving in the field, including:

Fixed effects and mixed effects models
Marginal models and generalized estimating equations
Approximate methods for generalized linear mixed effects models
Multiple imputation and inverse probability weighted methods
Smoothing methods for longitudinal data
Sample size and power

Each chapter presents methods in the setting of applications to data sets drawn from the health sciences. New problem sets have been added to many chapters, and a related website features sample programs and computer output using SAS®, Stata®, and R, as well as data sets and supplemental slides to facilitate a complete understanding of the material.

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. The book also serves as a valuable reference for researchers and professionals in the medical, public health, and pharmaceutical fields as well as those in social and behavioral sciences who would like to learn more about analyzing longitudinal data.