Twenty five years after identification of the HIV virus, the AIDS epidemic continues with an estimated 33 million individuals currently infected worldwide and 2.5 million new infections each year. Research to prevent and treat HIV infection has grown increasing sophisticated and the analytic challenges have become correspondingly complex. In this application we outline plans for the development of statistical methods that will be directly applicable to current problems in the field of HIV/AIDS research. In particular, we propose to develop methods for the analysis of data from stepped wedge randomized trials, trials to prevent mother to child transmission of HIV, discordant partner studies, and trials or studies which utilize two-phase or other complex sampling designs. Since HIV infection is typically asymptomatic and the time of infection is bounded by two test dates, we continue work on methods for interval censored data and focus on issues related to competing risks and correlated interval censored data. Finally, as the search for an effective HIV vaccine presents ever greater challenges, we propose to develop novel statistical methods for analyzing data from studies of T-cell based vaccines as well as HIV antigen-antibody interactions.

Public Health Relevance

This research will develop statistical methods for use in studies of HIV infection.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI029168-21
Application #
7796792
Study Section
AIDS Clinical Studies and Epidemiology Study Section (ACE)
Program Officer
Gezmu, Misrak
Project Start
1989-09-30
Project End
2014-04-30
Budget Start
2010-05-01
Budget End
2011-04-30
Support Year
21
Fiscal Year
2010
Total Cost
$517,444
Indirect Cost
Name
University of Washington
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Trumble, Ilana M; Allmon, Andrew G; Archin, Nancie M et al. (2017) SLDAssay: A software package and web tool for analyzing limiting dilution assays. J Immunol Methods 450:10-16
Mao, Lu; Lin, Dan-Yu; Zeng, Donglin (2017) Semiparametric regression analysis of interval-censored competing risks data. Biometrics 73:857-865
Halloran, M Elizabeth; Auranen, Kari; Baird, Sarah et al. (2017) Simulations for designing and interpreting intervention trials in infectious diseases. BMC Med 15:223
Jiang, Runchao; Lu, Wenbin; Song, Rui et al. (2017) DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA-WITH APPLICATION TO AN HIV/AIDS STUDY. Ann Appl Stat 11:1763-1786
Mao, Lu; Lin, D Y (2017) Efficient Estimation of Semiparametric Transformation Models for the Cumulative Incidence of Competing Risks. J R Stat Soc Series B Stat Methodol 79:573-587
Li, Quefeng; Yu, Menggang; Wang, Sijian (2017) A Statistical Framework for Pathway and Gene Identification from Integrative Analysis. J Multivar Anal 156:1-17
Han, Qiyang; Wellner, Jon A (2016) APPROXIMATION AND ESTIMATION OF s-CONCAVE DENSITIES VIA RÉNYI DIVERGENCES. Ann Stat 44:1332-1359
Norwood, Marlena S; Hughes, James P; Amico, K Rivet (2016) The validity of self-reported behaviors: methods for estimating underreporting of risk behaviors. Ann Epidemiol 26:612-618.e2
Dai, James Y; Hendrix, Craig W; Richardson, Barbra A et al. (2016) Pharmacological Measures of Treatment Adherence and Risk of HIV Infection in the VOICE Study. J Infect Dis 213:335-42
Mao, Lu; Lin, D Y (2016) Semiparametric regression for the weighted composite endpoint of recurrent and terminal events. Biostatistics 17:390-403

Showing the most recent 10 out of 113 publications