Volume 39 · Number 7
JULY 2009
Design and Analysis of Longitudinal Studies, Part 2
By improving our ability to extract meaning from quantitative information, our level of statistical thinking can evolve. This “evolution of thinking” can lead to further advances in mental healthcare.
Of the Terrible Doubt of Appearances
Jan Fawcett, MD
Design and Analysis of Longitudinal Studies, Part 2
Robert D. Gibbons, PhD
A 54-year-old Man with History of PTSD
Violeta O. Tan, MD;
Natalie L. Rasgon, PhD
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
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
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
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
