Twisk - Applied Longitudinal Data Analysis - Cambridge - 2003 - Trade Paperback

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Hinweise des Verkäufers
“Really nice copy with just very slight wear”
Book Title
Applied Longitudinal Data Analysis
Ex Libris
No
Narrative Type
Nonfiction
Country/Region of Manufacture
United States
Custom Bundle
No
Inscribed
No
Features
1st Edition
Vintage
No
Personalized
No
Subject Area
Statistical Analysis
Signed
No
Educational Level
Adult & Further Education
Genre
Data Analysis
Subject
Statistics
Country
USA
Level
Advanced
ISBN
9780521525800
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
0521525802
ISBN-13
9780521525800
eBay Product ID (ePID)
2275784

Product Key Features

Number of Pages
320 Pages
Publication Name
Applied Longitudinal Data Analysis for Epidemiology : a Practical Guide
Language
English
Publication Year
2003
Subject
Epidemiology, Diseases
Type
Textbook
Subject Area
Medical
Author
Jos W. R. Twisk
Format
Perfect

Dimensions

Item Height
0.7 in
Item Weight
23.7 Oz
Item Length
9.7 in
Item Width
6.9 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2002-023437
Dewey Edition
21
Reviews
'Overall, the book is well written, and the material is rich and carefully organised … the book is a welcome reference manual or practical guide for practitioners of statistical methods in (but not limited to) epidemiological and clinical studies. The book's main value is in its rather comprehensive presentation of a collection of longitudinal data analyses arising from different research questions. In this sense, the book is unique. Some practitioners of statistics may have struggled to learn longitudinal data analysis by reading manuals of software packages. this book is potentially of great benefit to them.'Journal of the American Statistical Association, "I highly recommend Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide. I believe that it will be useful for applied statisticians, public health researchers, clinical investigators, and epidemiologists. One can use this book for learning more about longitudinal data analysis (particularly regarding modern statistical techniques) and for teaching and consulting purposes." Teaching of Statistics in the Health Sciences, "The book will be a welcome addition and is generally well written." Max K Bulsara, School of Population Health, University of Western Australia, Statistical Methods in Medical Research, 'Overall, the book is well written, and the material is rich and carefully organised ... the book is a welcome reference manual or practical guide for practitioners of statistical methods in (but not limited to) epidemiological and clinical studies. The book's main value is in its rather comprehensive presentation of a collection of longitudinal data analyses arising from different research questions. In this sense, the book is unique. Some practitioners of statistics may have struggled to learn longitudinal data analysis by reading manuals of software packages. this book is potentially of great benefit to them.' Journal of the American Statistical Association, "I highly recommend Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide. I believe that it will be useful for applied statisticians, public health researchers, clinical investigators, and epidemiologists. One can use this book for learning more about longitudinal data analysis (particularly regarding modern statistical techniques) and for teaching and consulting purposes." Richard A. Oster for Teaching of Statistics in the Health Sciences, 'Overall, the book is well written, and the material is rich and carefully organised … the book is a welcome reference manual or practical guide for practitioners of statistical methods in (but not limited to) epidemiological and clinical studies. The book's main value is in its rather comprehensive presentation of a collection of longitudinal data analyses arising from different research questions. In this sense, the book is unique. Some practitioners of statistics may have struggled to learn longitudinal data analysis by reading manuals of software packages. this book is potentially of great benefit to them.' Journal of the American Statistical Association
Illustrated
Yes
Dewey Decimal
614.4/07/27
Table Of Content
1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables - relationships with other variables; 5. Other possibilities to model longitudinal data; 6. Dichotomous outcome variables; 7. Categorical and 'count' outcome variables; 8. Longitudinal studies with two measurements: the definition and analysis of change; 9. Analysis of experimental studies; 10. Missing data in longitudinal studies; 11. Tracking; 12. Software for longitudinal data-analysis; 13. Sample size calculations; Index.
Synopsis
The most important techniques available for longitudinal data analysis are discussed in this book. The discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalized estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. This practical guide is especially suitable for non-statisticians and all those undertaking medical research or epidemiological studies., 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., In this book the most important techniques available for longitudinal data analysis are discussed, including simple techniques such as the paired t-test and summary statistics, and more sophisticated techniques such as generalised estimating equations and random coefficient analysis. This practical guide is suitable for non-statisticians involved in medical research and epidemiology.
LC Classification Number
RA652.2.M3T95 2002

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