Volume 38 · Number 12
DECEMBER 2008
Design and Analysis of Longitudinal Studies
In this issue of Psychiatric Annals, we focus on topics that have arisen in the analysis of longitudinal data over the past 15 years that we as statisticians believe are important for the progress of medical research in general, and psychiatric research in particular.
Statistics — What Can You Believe? If You Care About DSM-V, Read This
Jan Fawcett, MD
Design and Analysis of Longitudinal Studies
Robert D. Gibbons, PhD
Sample Size Determination for Studies with Repeated Continuous Outcomes
Dulal K. Bhaumik, PhD;
Anindya Roy, PhD;
Subhash Aryal, PhD;
Kwan Hur, PhD;
Naihua Duan, PhD;
Sharon-Lise T. Normand, PhD;
C. Hendricks Brown, PhD;
Robert D. Gibbons, PhD
Intent-to-treat vs. Non-intent-to-treat Analyses under Treatment Non-adherence in Mental Health Randomized Trials
Thomas R. Ten Have, PhD;
Sharon-Lise T. Normand, PhD;
Sue M. Marcus, PhD;
C. Hendricks Brown, PhD;
Philip Lavori, PhD;
Naihua Duan, PhD
Missing Data in Longitudinal Clinical Trials Part A: Design and Conceptual Issues
Philip W. Lavori, PhD;
C. Hendricks Brown, PhD;
Naihua Duan, PhD;
Robert D. Gibbons, PhD;
Joel Greenhouse, PhD
Missing Data in Longitudinal Trials –
Part B, Analytic Issues
Juned Siddique, DrPH;
C. Hendricks Brown, PhD;
Donald Hedeker, PhD;
Naihua Duan, PhD;
Robert D. Gibbons, PhD;
Jeanne Miranda, PhD;
Philip W. Lavori, PhD
Balancing Treatment Comparisons in Longitudinal Studies
Sue M. Marcus, PhD;
Juned Siddique, DrPH;
Thomas R. Ten Have, PhD;
Robert D. Gibbons, PhD;
Elizabeth Stuart, PhD;
Sharon-Lise T. Normand, PhD
