Abstract

The purpose of this proposal is to develop statistical methods which are highly relevant to the study of the natural history of AIDS, markers of disease progression, and clinical trials in AIDS. Three projects are described: (a) The use of multiple imputation techniques to estimate the incubation period of AIDS. This is applicable to data in cohort studies in which the date of infection and date of AIDS diagnosis are frequently missing. (b) The use of Bayesian schemes to ac- count for the numerous sources of uncertainty in models of the growth of the AIDS epidemic. (c) The use of multivariate models for time-varying continuous markers of disease progression.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
1R01AI029196-01A1
Application #
3143989
Study Section
Special Emphasis Panel (ARR (V1))
Project Start
1990-04-01
Project End
1993-03-31
Budget Start
1990-04-01
Budget End
1991-03-31
Support Year
1
Fiscal Year
1990
Total Cost
Indirect Cost

  Institution

Name
University of California Los Angeles
Department
Type
Schools of Public Health
DUNS #
119132785
City
Los Angeles
State
CA
Country
United States
Zip Code
90095

  Publications

Hsu, Chiu-Hsieh; Taylor, Jeremy M G; Murray, Susan et al. (2007) Multiple imputation for interval censored data with auxiliary variables. Stat Med 26:769-81
Faucett, Cheryl L; Schenker, Nathaniel; Taylor, Jeremy M G (2002) Survival analysis using auxiliary variables via multiple imputation, with application to AIDS clinical trial data. Biometrics 58:37-47
Taylor, Jeremy M G; Wang, Yan (2002) Surrogate markers and joint models for longitudinal and survival data. Control Clin Trials 23:626-34
Liu, M; Taylor, J M; Belin, T R (2000) Multiple imputation and posterior simulation for multivariate missing data in longitudinal studies. Biometrics 56:1157-63
Taylor, J M; Wang, Y; Ahdieh, L et al. (2000) Causal pathways for CCR5 genotype and HIV progression. J Acquir Immune Defic Syndr 23:160-71
Roussanov, B V; Taylor, J M; Giorgi, J V (2000) Calculation and use of an HIV-1 disease progression score. AIDS 14:2715-22
Bycott, P; Taylor, J (1998) A comparison of smoothing techniques for CD4 data measured with error in a time-dependent Cox proportional hazards model. Stat Med 17:2061-77
Boscardin, W J; Taylor, J M; Law, N (1998) Longitudinal models for AIDS marker data. Stat Methods Med Res 7:13-27
Taylor, J M; Law, N (1998) Does the covariance structure matter in longitudinal modelling for the prediction of future CD4 counts? Stat Med 17:2381-94
Bycott, P W; Taylor, J M (1998) An evaluation of a measure of the proportion of the treatment effect explained by a surrogate marker. Control Clin Trials 19:555-68

Showing the most recent 10 out of 23 publications