Semiparametric Modeling of Recurrent Drug Adherence Patterns: Insights from the HIV Prevention Trial

Ying Qing Chen Co-Author
Stanford University
 
Ying Qing Chen Speaker
Stanford University
 
Monday, Aug 4: 8:55 AM - 9:15 AM
Topic-Contributed Paper Session 
Music City Center 
Drug adherence is key to the success of biomedical preventive interventions in HIV/AIDS research. Analysis of the drug adherences to identify their trend over time shall help researchers develop an essential understanding of the patterns involved. In this talk, we will present a semiparametric modeling framework to study the comparability of gap times and analyze the drug adherences as recurrent event data, where each individual patient may experience repeated clinical events. We apply the proposed method to the HIV Prevention Trial Network 052 study, a milestone clinical trial that established the benefit of the Treatment-as-Prevention strategy in HIV/AIDS prevention.

Keywords

Drug Adherence