39 citations · 97 across the 6 of their papers we have counts for
6 papers
Optimizing Interim Analysis Timing for Bayesian Adaptive Commensurate Designs
Xiao Wu, Yi Xu, Bradley P. Carlin
In developing products for rare diseases, statistical challenges arise due to the limited number of patients available for participation in drug trials and other clinical research.…
Combining nonexchangeable functional or survival data sources in oncology using generalized mixture commensurate priors
Thomas A. Murray, Brian P. Hobbs, Bradley P. Carlin
Conventional approaches to statistical inference preclude structures that facilitate incorporation of supplemental information acquired from similar circumstances. For example, the…
A Conversation with Alan Gelfand
Bradley P. Carlin, Amy H. Herring
Alan E. Gelfand was born April 17, 1945, in the Bronx, New York. He attended public grade schools and did his undergraduate work at what was then called City College of New York (C…
Modeling temporal gradients in regionally aggregated California asthma hospitalization data
Harrison Quick, Sudipto Banerjee, Bradley P. Carlin
Advances in Geographical Information Systems (GIS) have led to the enormous recent burgeoning of spatial-temporal databases and associated statistical modeling. Here we depart from…
Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data using Bayesian Model Averaging
Dimitris Rizopoulos, Laura A. Hatfield, Bradley P. Carlin +1
The joint modeling of longitudinal and time-to-event data is an active area of statistics research that has received a lot of attention in the recent years. More recently, a new an…
Analysis of Minnesota colon and rectum cancer point patterns with spatial and nonspatial covariate information
Shengde Liang, Bradley P. Carlin, Alan E. Gelfand
Colon and rectum cancer share many risk factors, and are often tabulated together as ``colorectal cancer'' in published summaries. However, recent work indicating that exercise, di…