11 citations · 29 across the 10 of their papers we have counts for
10 papers
Correlation Matters! Streamlining the Sample Size Procedure with Composite Time-to-event Endpoints
Yunhan Mou, Fan Li, Denise Esserman +1
Composite endpoints are widely used in cardiovascular clinical trials to improve statistical efficiency while preserving clinical relevance. The Win Ratio (WR) measure and more gen…
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint
Mary Ryan Baumann, Denise Esserman, Monica Taljaard +1
Stepped wedge cluster randomized trials (SW-CRTs) are a form of randomized trial whereby clusters are progressively transitioned from control to intervention, with the timing of tr…
Group sequential two-stage preference designs
Ruyi Liu, Fan Li, Denise Esserman +1
The two-stage preference design (TSPD) enables the inference for treatment efficacy while allowing for incorporation of patient preference to treatment. It can provide unbiased est…
Bayesian pathway analysis over brain network mediators for survival data
Xinyuan Tian, Fan Li, Li Shen +2
Technological advancements in noninvasive imaging facilitate the construction of whole brain interconnected networks, known as brain connectivity. Existing approaches to analyze br…
Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity
Mary M. Ryan, Denise Esserman, Fan Li
Cluster randomized trials (CRTs) are studies where treatment is randomized at the cluster level but outcomes are typically collected at the individual level. When CRTs are employed…
Bayesian semi-parametric inference for clustered recurrent events with zero-inflation and a terminal event/4163305
Xinyuan Tian, Maria Ciarleglio, Jiachen Cai +4
Recurrent event data are common in clinical studies when participants are followed longitudinally, and are often subject to a terminal event. With the increasing popularity of larg…
Competing risks regression for clustered survival data via the marginal additive subdistribution hazards model
Xinyuan Chen, Denise Esserman, Fan Li
A population-averaged additive subdistribution hazards model is proposed to assess the marginal effects of covariates on the cumulative incidence function and to analyze correlated…
Bayesian local exchangeability design for phase II basket trials
Yilin Liu, Michael Kane, Denise Esserman +3
We propose an information borrowing strategy for the design and monitoring of phase II basket trials based on the local multisource exchangeability assumption between baskets (dise…
Estimation of ascertainment bias and its effect on power in clinical trials with time-to-event outcomes
E. J. Greene, P. Peduzzi, J. Dziura +4
While the gold standard for clinical trials is to blind all parties -- participants, researchers, and evaluators -- to treatment assignment, this is not always a possibility. When…
The maximum negative hypergeometric distribution
Daniel Zelterman
An urn contains a known number of balls of two different colors. We describe the random variable counting the smallest number of draws needed in order to observe at least o…