Design and Analysis of Longitudinal Studies, Part 2

Volume 39 · Number 7
JULY 2009

By Robert D. Gibbons, PhD

This is the second issue on conceptual and statistical issues related to the design and analysis of psychiatric studies. In the first issue [(2009;38(12)], we provided a series of five papers related to 1) conceptual and experimental design issues related to missing data in longitudinal studies, 2) advances in the analysis of longitudinal data that insulate inferences from the effects of missing data, 3) the role of the intent-to-treat principle in longitudinal studies and various alternatives, 4) balancing treatment and comparison groups in longitudinal studies, and 5) sample-size determination for clustered and/or longitudinal studies.

Design and Analysis of Longitudinal Studies, Part 2

Of the Terrible Doubt of Appearances
Jan Fawcett, MD

A 54-year-old Man with History of PTSD
Violeta O. Tan, MD; Natalie L. Rasgon, PhD

CE article Where Do We Go Wrong in Assessing Risk Factors, Diagnostic and Prognostic Tests? The Problems of Two-by-two Association
Helena Chmura Kraemer, PhD; Robert D. Gibbons, PhD

CE article Using Non-experimental Data to Estimate Treatment Effects
Elizabeth A. Stuart, PhD; Sue M. Marcus, PhD; Marcela V. Horvitz-Lennon, MD; Robert D. Gibbons, PhD; Sharon-Lise T. Normand, PhD; C. Hendricks Brown, PhD

CE article Statistical Approaches to Modeling Multiple Outcomes in Psychiatric Studies
Armando Teixeira-Pinto, PhD; Juned Siddique, DrPH; Robert D. Gibbons, PhD; Sharon-Lise T. Normand, PhD

CE article Why Does the Randomized Clinical Trial Methodology So Often Mislead Clinical Decision Making? Focus on Moderators and Mediators of Treatment
Helena Chmura Kraemer, PhD; Robert D. Gibbons, PhD

The Role of ANCOVA in Analyzing Experimental Data
Thomas R. Belin, PhD; Sharon-Lise T. Normand, PhD