The objective of this grant is to develop statistical methods useful for prevalent cohort data in AIDS studies. The focus will be on two types of prevalent cohorts: (1) prevalent cohort with know time-origins, and (2) prevalent cohort with unknown time-origins. These two types of cohorts share one thing in common, namely, patients in both of the cohorts are recruited according to a certain cross-sectional sampling criterion. However, the data informations differ due to the known and unknown time- origins. The major topics will include non- and semi-parametric methods for one- sample and regression problems. In particular, statistical methods and theory for survival curve estimation, HIV-infection estimation, bootstrapping procedures and proportional hazard model will be developed.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI029197-03
Application #
3143996
Study Section
Special Emphasis Panel (ARR (V1))
Project Start
1989-09-30
Project End
1992-07-31
Budget Start
1991-08-01
Budget End
1992-07-31
Support Year
3
Fiscal Year
1991
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Type
Schools of Public Health
DUNS #
045911138
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Wang, M C; Brookmeyer, R; Jewell, N P (1993) Statistical models for prevalent cohort data. Biometrics 49:1-11
Wang, M C; See, L C (1992) N-estimation from retrospectively ascertained events with applications to AIDS. Biometrics 48:129-41