Statistical Problems in AIDS Studies

Wei, Lee-Jen

Abstract

In the acquired immunodeficiency syndrome (AIDS) studies, some statistical problems are rather unique (cf., J.R. Anderson, 1989. Biometric Bulletin. Feb. Issue). New methods are needed to address these particular issues. Here, we propose to study five important statistical problems arising in AIDS trials. The results from this research should be quite useful in developing and analyzing AIDS studies. These problems are: a) Drug combinations for Phase I and Phase II studies; b) Analysis of repeated virologic measurements; c) Analysis of repeated ordered categorical response data: d) The adaptive randomization designs for clinical trials; and e) The robust inference for Cox's proportional hazards model.

Funding Agency

• Agency: National Institute of Health (NIH)
• Institute: National Institute of Allergy and Infectious Diseases (NIAID)
• Type: Research Project (R01)
• Project #: 5R01AI029131-02
• Application #: 3143857
• Study Section: Special Emphasis Panel (ARR (V1))
• Project Start: 1989-09-30
• Project End: 1991-07-31
• Budget Start: 1990-08-01
• Budget End: 1991-07-31
• Support Year: 2
• Fiscal Year: 1990

Institution

• Name: University of Wisconsin Madison
• Type: Schools of Medicine
• DUNS #: 161202122
• City: Madison
• State: WI
• Country: United States
• Zip Code: 53715

Publications

Xie, Baode; Wainberg, Mark A; Frankel, Alan D (2003) Replication of human immunodeficiency viruses engineered with heterologous Tat-transactivation response element interactions. J Virol 77:1984-91

Lee, B N; Follen, M; Tortolero-Luna, G et al. (1999) Synthesis of IFN-gamma by CD8(+) T cells is preserved in HIV-infected women with HPV-related cervical squamous intraepithelial lesions. Gynecol Oncol 75:379-86

Reuben, J M; Turpin, J A; Lee, B N et al. (1996) Induction of inflammatory cytokines in placental monocytes of gravidae infected with the human immunodeficiency virus type 1. J Interferon Cytokine Res 16:963-71

Storer, B E (1993) Small-sample confidence sets for the MTD in a phase I clinical trial. Biometrics 49:1117-25

Su, J Q; Lachin, J M (1992) Group sequential distribution-free methods for the analysis of multivariate observations. Biometrics 48:1033-42

Wei, L J (1992) The accelerated failure time model: a useful alternative to the Cox regression model in survival analysis. Stat Med 11:1871-9

Lin, J S; Wei, L J (1992) Linear regression analysis based on Buckley-James estimating equation. Biometrics 48:679-81