4 papers · 1 filter
From priors to performance: enhancing statistical efficiency with Bayesian dynamic borrowing
Xinxin Chen, Ezequiel Braga, Joseph G. Ibrahim +2
One of the main advantages of the Bayesian approach to statistical inference is the flexibility in incorporating information from various sources, from expert opinion to historical…
Cure Rate Joint Model for Time-to-Event Data and Longitudinal Tumor Burden with Potential Change Points
Yixiang Qu, Ethan M. Alt, Weibin Zhong +3
In non-small cell lung cancer (NSCLC) clinical trials, tumor burden (TB) is a key longitudinal biomarker for assessing treatment effects. Typically, standard-of-care (SOC) therapie…
hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data
Ethan M. Alt, Xinxin Chen, Luiz M. Carvalho +1
There has been increased interest in the use of historical data to formulate informative priors in regression models. While many such priors for incorporating historical data have…
Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden
Ethan M. Alt, Yixiang Qu, Emily Damone +3
In oncology clinical trials, tumor burden (TB) stands as a crucial longitudinal biomarker, reflecting the toll a tumor takes on a patient's prognosis. With certain treatments, the…