Abstract

The purpose of this proposal is to develop statistical methodology which is particularly appropriate for the study of the epidemiology of AIDS and for clinical research in AIDS, with an emphasis towards markers of disease progression. Four distinct projects are proposed, these are (i) developing semi-parametric methods for use in the mother-to-child (HIV transmission problem, (ii) developing statistical methods for analyzing longitudinal data or performing survival analysis in the presence of missing covariates, (iii) to investigate non-parametric schemes for estimating normal ranges from repeated measurements data, and (iv) developing statistical methods for estimating the distribution of a marker value, which is measured with error, at the time of an endpoint.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI029196-05
Application #
2064872
Study Section
AIDS and Related Research Study Section 2 (ARRB)
Project Start
1990-04-01
Project End
1996-03-31
Budget Start
1994-04-01
Budget End
1995-03-31
Support Year
5
Fiscal Year
1994
Total Cost
Indirect Cost

  Institution

Name
University of California Los Angeles
Department
Biostatistics & Other Math Sci
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