This work focuses on two examples of randomized control trials- a set of Phase II and Phase III clinical trials evaluating pre-exposure prophylaxis for HIV prevention and a cluster randomized trial assessing a community engagement intervention developed to improve health outcomes in Baltimore. We discuss the unique statistical challenges each trial raises, and we present our application of different methods that address them. We conclude by discussing the commonalities between the different trials, ongoing methodological challenges, and future directions for this work
Introduction: Individually randomised controlled trials (iRCTs) of complex interventions commonly in...
Epidemiologic and clinical changes in the HIV epidemic over time have presented a challenge to publi...
Many randomized trials are designed to collect outcomes at fixed points in times after randomized. ...
Numerous human medical problems or diseases have been aided by the development of effective treatmen...
This dissertation is focused on the development of the optimal design and analysis for cluster rando...
Randomized trials are considered the gold standard for estimating causal effects, and evidence from ...
I develop new statistical methods to learn the fraction who benefit from treatment, using randomized...
BackgroundCluster randomized trials have been utilized to evaluate the effectiveness of human immuno...
Thesis (Ph.D.)--University of Washington, 2022Data-adaptive statistical methods can often be used to...
My thesis is about developing statistical methods by integrating disparate data sources with real da...
In this thesis, we investigate sample size calculation for three kinds of clinical trials: (1). Rand...
abstract: Pre-Exposure Prophylaxis (PrEP) is any medical or public health procedure used before expo...
Doctor of Philosophy in Applied Mathematics. University of KwaZulu-Natal, Durban 2016Abstract availa...
Purpose of review We discuss selected statistical issues in the design and analysis of preexposure p...
Central to the goals of public health are obtaining and interpreting timely and relevant information...
Introduction: Individually randomised controlled trials (iRCTs) of complex interventions commonly in...
Epidemiologic and clinical changes in the HIV epidemic over time have presented a challenge to publi...
Many randomized trials are designed to collect outcomes at fixed points in times after randomized. ...
Numerous human medical problems or diseases have been aided by the development of effective treatmen...
This dissertation is focused on the development of the optimal design and analysis for cluster rando...
Randomized trials are considered the gold standard for estimating causal effects, and evidence from ...
I develop new statistical methods to learn the fraction who benefit from treatment, using randomized...
BackgroundCluster randomized trials have been utilized to evaluate the effectiveness of human immuno...
Thesis (Ph.D.)--University of Washington, 2022Data-adaptive statistical methods can often be used to...
My thesis is about developing statistical methods by integrating disparate data sources with real da...
In this thesis, we investigate sample size calculation for three kinds of clinical trials: (1). Rand...
abstract: Pre-Exposure Prophylaxis (PrEP) is any medical or public health procedure used before expo...
Doctor of Philosophy in Applied Mathematics. University of KwaZulu-Natal, Durban 2016Abstract availa...
Purpose of review We discuss selected statistical issues in the design and analysis of preexposure p...
Central to the goals of public health are obtaining and interpreting timely and relevant information...
Introduction: Individually randomised controlled trials (iRCTs) of complex interventions commonly in...
Epidemiologic and clinical changes in the HIV epidemic over time have presented a challenge to publi...
Many randomized trials are designed to collect outcomes at fixed points in times after randomized. ...