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.
This research will develop statistical methods for use in studies of HIV infection.
|Cumberland, William N; Fong, Youyi; Yu, Xuesong et al. (2015) Nonlinear Calibration Model Choice between the Four and Five-Parameter Logistic Models. J Biopharm Stat 25:972-83|
|Hoff, Peter D; Niu, Xiaoyue; Wellner, Jon A (2014) Information bounds for Gaussian copulas. Bernoulli (Andover) 20:604-622|
|Zeng, Donglin; Lin, D Y (2014) Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies. J Am Stat Assoc 109:371-383|
|Hudgens, Michael G; Li, Chenxi; Fine, Jason P (2014) Parametric likelihood inference for interval censored competing risks data. Biometrics 70:1-9|
|Gilbert, Peter B; Yu, Xuesong; Rotnitzky, Andrea (2014) Optimal auxiliary-covariate-based two-phase sampling design for semiparametric efficient estimation of a mean or mean difference, with application to clinical trials. Stat Med 33:901-17|
|Balabdaoui, Fadoua; Wellner, Jon A (2014) Chernoff's density is log-concave. Bernoulli (Andover) 20:231-244|
|Dai, James Y; Gilbert, Peter B; Hughes, James P et al. (2013) Estimating the efficacy of preexposure prophylaxis for HIV prevention among participants with a threshold level of drug concentration. Am J Epidemiol 177:256-63|
|Gilbert, Peter B; Shepherd, Bryan E; Hudgens, Michael G (2013) Sensitivity Analysis of Per-Protocol Time-to-Event Treatment Efficacy in Randomized Clinical Trials. J Am Stat Assoc 108:|
|Gao, Fuchang; Wellner, Jon A (2013) Global rates of convergence of the MLE for multivariate interval censoring. Electron J Stat 7:364-380|
|May, Ryan C; Chu, Haitao; Ibrahim, Joseph G et al. (2013) Change-point models to estimate the limit of detection. Stat Med 32:4995-5007|
Showing the most recent 10 out of 52 publications