Affiliation: Medical University of South Carolina
- Non-linearity of Parkinson's disease progression: implications for sample size calculations in clinical trialsPaulo Guimaraes
Dept of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, 135 Cannon St Suite 303, Charleston, SC 29425, USA
Clin Trials 2:509-18. 2005..Models can help better understand behavior of the UPDRS after initiation of symptomatic therapy when scores will improve and eventually start deteriorating again...
- Power and sample size simulations for Randomized Play-the-Winner rulesPaulo Guimaraes
Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, 135 Cannon St Suite 303, Charleston, SC 29425, USA
Contemp Clin Trials 28:487-99. 2007..Additionally, we discuss some practical approaches for sample size determination based on the RPW...
- A responsive outcome for Parkinson's disease neuroprotection futility studiesJordan J Elm
Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, Charleston, SC 29425, USA
Ann Neurol 57:197-203. 2005....
- Self-reported adherence versus pill count in Parkinson's disease: the NET-PD experienceJordan J Elm
Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, Charleston, South Carolina, USA
Mov Disord 22:822-7. 2007..The most common approach to assessment is to do a pill count at each visit. The simple, 4-question Morisky medication adherence questionnaire may provide an alternative approach to monitoring treatment adherence in PD...
- Optimal frequency for measuring health care resource utilization in Parkinson's disease using participant recall: the FS-TOO resource utilization substudyPatrick D Mauldin
Department of Clinical Pharmacy and Outcomes Sciences, Medical University of South Carolina, and the Ralph H Johnson VA Medical Center, Charleston, South Carolina 29425, USA
Clin Ther 30:1553-7. 2008....
- A polytomous conditional likelihood approach for combining matched and unmatched case-control studiesMulugeta Gebregziabher
Department of Biostatistics, Medical University of South Carolina, Bioinformatics and Epidemiology, 135 Cannon St, Charleston Suite 303, SC 29425, U S A
Stat Med 29:1004-13. 2010..Our results indicate that the proposed method leads to a more efficient homogeneity test and a pooled estimate with smaller standard error...
- Statistical Methods for Neurological DataPaulo Guimaraes; Fiscal Year: 2006..In the last year of the award the candidate will concentrate on developing a/research agenda on the application of statistical methods to neuroimaging data. ..