This project is concerned with enhancing validity and power of neuropsychopharmacologic research and service delivery through refinements in design and analysis of controlled clinical trials, development and/or evaluation of clinical assessment and classification methodology, as well as the provision of statistical support for selected clinical investigators. Flexibility in focusing on key methodological issues as they arise has been a unique feature of this NIMH grant in the past. Evaluating neuropsychopharmacologic treatments in the broader service delivery context is a currently added emphasis that poses novel methodological problems and possibilities. Statistical issues to be examined include the best among imperfect ways of controlling for confounding factors in doctor's choice treatment settings and methodology for investigating differences in frequencies of occurrence of rare events which can only be studied in the broader service delivery context. Computer models, monte carlo simulation methods, and logical analysis will be used to examine key issues in the methodology for evaluating neuropsychopharmacologic treatments. The importance of an independent academic participation in issues that arise at the interface of industry and the FDA is stressed.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
2R01MH032457-17
Application #
2244329
Study Section
Special Emphasis Panel (SRCM (05))
Project Start
1978-09-01
Project End
2000-03-31
Budget Start
1995-04-01
Budget End
1996-03-31
Support Year
17
Fiscal Year
1995
Total Cost
Indirect Cost
Name
University of Texas Health Science Center Houston
Department
Psychiatry
Type
Schools of Medicine
DUNS #
City
Houston
State
TX
Country
United States
Zip Code
77225
Tonidandel, Scott; Overall, John E; Smith, Fraser (2004) Use of resampling to select among alternative error structure specifications for GLMM analyses of repeated measurements. Int J Methods Psychiatr Res 13:24-33
Overall, John E; Tonidandel, Scott (2002) Measuring change in controlled longitudinal studies. Br J Math Stat Psychol 55:109-24
Ahn, C; Overall, J E; Tonidandel, S (2001) Sample size and power calculations in repeated measurement analysis. Comput Methods Programs Biomed 64:121-124
Ahn, C; Tonidandel, S; Overall, J E (2000) Issues in use of SAS PROC.MIXED to test the significance of treatment effects in controlled clinical trials. J Biopharm Stat 10:265-86
Overall, J E; Ahn, C; Shivakumar, C et al. (1999) Problematic formulations of SAS PROC.MIXED models for repeated measurements. J Biopharm Stat 9:189-216
Overall, J E; Atlas, R S (1999) Power of univariate and multivariate analyses of repeated measurements in controlled clinical trials. J Clin Psychol 55:465-85
Overall, J E; Shivakumar, C (1999) Testing differences in response trends across a normalized time domain. J Clin Psychol 55:857-67
Overall, J E; Shobaki, G; Shivakumar, C et al. (1998) Adjusting sample size for anticipated dropouts in clinical trials. Psychopharmacol Bull 34:25-33
Overall, J E; Shobaki, G; Anderson, C B (1998) Comparative evaluation of two models for estimating sample sizes for tests on trends across repeated measurements. Control Clin Trials 19:188-97
Overall, J E (1997) Drop-outs and a random regression model. J Biopharm Stat 7:383-402

Showing the most recent 10 out of 40 publications