Tutorials in Biostatistics, Tutorials in Biostatistics Statistical Modelling of Complex Medical Data

by D'Agostino, Ralph B.

• ISBN13: 9780470023709
• ISBN10: 0470023708
• Edition: 1st
• Format: Hardcover
• Copyright: 2004-11-30
• Publisher: WILEY

Summary

The Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge. This book represents the second of two volumes presenting the best tutorials published in SIM, focusing on statistical modeling of complex data. Topics include clustered data, hierarchical models, mixed models, genetic modeling, and meta-analysis. Each tutorial is focused on a medical problem, has been fully peer-reviewed and edited, and is authored by leading researchers in biostatistics. Many articles include an appendix on the latest developments since publication in the journal and additional references.This will appeal to statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists and geneticists. It will also appeal to graduate students of biostatistics.

Author Biography

Ralph D'Agostino, Boston University, USA
One of the editors of Statistics in Medicine and editor of the Tutorials in Biostatistics series in the journal.

Table of Contents

Preface	vii
Preface to Volume 2	ix
Part I MODELLING A SINGLE DATA SET
Clustered Data
Extending the Simple Linear Regression Model to Account for Correlated Responses: An Introduction to Generalized Estimating Equations and Multi-Level Mixed Modelling	3	(32)
Paul Burton
Lyle Gurrin
Peter Sly
Hierarchical Modelling
An Introduction to Hierarchical Linear Modelling	35	(34)
Lisa M. Sullivan
Kimberly A. Dukes
Elena Losina
Multilevel Modelling of Medical Data	69	(26)
Harvey Goldstein
William Browne
Jon Rasbash
Hierarchical Linear Models for the Development of Growth Curves: An Example with Body Mass Index in Overweight /Obese Adults	95	(32)
Moonseong Heo
Myles S. Faith
John W. Mott
Bernard S. Gorman
David T. Redden
David B. Allison
Mixed Models
Using the General Linear Mixed Model to Analyse Unbalanced Repeated Measures and Longitudinal Data	127	(32)
Avital Cnaan
Nan M. Laird
Peter Slasor
Modelling Covariance Structure in the Analysis of Repeated Measures Data	159	(28)
Ramon C. Littell
Jane Pendergast
Ranjini Natarajan
Covariance Models for Nested Repeated Measures Data: Analysis of Ovarian Steroid Secretion Data	187	(22)
Taesung Park
Young Jack Lee
Likelihood Modelling
Likelihood Methods for Measuring Statistical Evidence	209	(40)
Jeffrey D. Blume
Part II MODELLING MULTIPLE DATA SETS: META-ANALYSIS
Meta-Analysis: Formulating, Evaluating, Combining, and Reporting	249	(40)
Sharon-Lise T. Normand
Advanced Methods in Meta-Analysis: Multivariate Approach and Meta-Regression	289	(38)
Hans C. van Houwelingen
Lidia R. Arends
Theo Stijnen
Part III MODELLING GENETIC DATA: STATISTICAL GENETICS
Genetic Epidemiology: A Review of the Statistical Basis	327	(12)
E. A. Thompson
Genetic Mapping of Complex Traits	339	(22)
Jane M. Olson
John S. Witte
Robert C. Elston
A Statistical Perspective on Gene Expression Data Analysis	361	(22)
Jaya M. Satagopan
Katherine S. Panageas
Part IV DATA REDUCTION OF COMPLEX DATA SETS
Statistical Approaches to Human Brain Mapping by Functional Magnetic Resonance Imaging	383	(40)
Nicholas Lange
Disease Map Reconstruction	423	(24)
Andrew B. Lawson
PART V SIMPLIFIED PRESENTATION OF MULTIVARIATE DATA
Presentation of Multivariate Data for Clinical Use: The Framingham Study Risk Score Functions	447	(30)
Lisa M. Sullivan
Joseph M. Massaro
Ralph B. D'Agostino, Sr.
Index	477