Abstract

The CPCRA Statistical Center will be responsible for providing statistical scientific leadership for all CPCRA research projects, from concept development through protocol implementation and subsequent amendment, including responsibility for data collection and quality assurance, statistical analysis, administrative reporting, and the education of CPCRA participants. Specific tasks will include the following: Establish and administer a reliable, efficient and responsive data management system with centralized data entry to reduce the burdensome aspects of conducting community-based research; - Recommend to the AIDS Program and other protocol team members the most appropriate experimental design for each CPCRA research study; - Design and distribute study forms for each CPCRA research study; - Design and implement quality assurance procedures to evaluate and improve the validity and completeness of computerized data; Perform all statistical analyses and administrative reporting required for CPCRA research projects; - Provide technical assistance and training to CPCRA participants, includin designing and implementing a series of workshops to educate community clinicians with respect to clinical research, protocol compliance, patient followup, and other statistical and data management issues and procedures.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research and Development Contracts (N01)
Project #
N01AI005073-017
Application #
2294702
Study Section
Project Start
1990-04-20
Project End
1995-04-19
Budget Start
1994-12-15
Budget End
1995-04-19
Support Year
Fiscal Year
1995
Total Cost
Indirect Cost

  Institution

Name
University of Minnesota Twin Cities
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
168559177
City
Minneapolis
State
MN
Country
United States
Zip Code
55455

  Publications

Han, Cong; Pulling, Christopher C; Telke, Susan E et al. (2002) Assessing the utility of five domains in SF-12 Health Status Questionnaire in an AIDS clinical trial. AIDS 16:431-9
Carlin, B P; Hodges, J S (1999) Hierarchical proportional hazards regression models for highly stratified data. Biometrics 55:1162-70
Johnson, B; Carlin, B P; Hodges, J S (1999) Cross-study hierarchical modeling of stratified clinical trial data. J Biopharm Stat 9:617-40
Louis, T A; Shen, W (1999) Innovations in bayes and empirical bayes methods: estimating parameters, populations and ranks. Stat Med 18:2493-505
Sargent, D J (1998) A general framework for random effects survival analysis in the Cox proportional hazards setting. Biometrics 54:1486-97
Carlin, B P; Kadane, J B; Gelfand, A E (1998) Approaches for optimal sequential decision analysis in clinical trials. Biometrics 54:964-75
Sargent, D J (1997) A flexible approach to time-varying coefficients in the Cox regression setting. Lifetime Data Anal 3:13-25
Carlin, B P; Sargent, D J (1996) Robust Bayesian approaches for clinical trial monitoring. Stat Med 15:1093-106
Goldman, A I; Carlin, B P; Crane, L R et al. (1996) Response of CD4 lymphocytes and clinical consequences of treatment using ddI or ddC in patients with advanced HIV infection. J Acquir Immune Defic Syndr Hum Retrovirol 11:161-9
Shih, J H; Louis, T A (1995) Inferences on the association parameter in copula models for bivariate survival data. Biometrics 51:1384-99

Showing the most recent 10 out of 13 publications