6 papers
A Precision Trial Case Study for Heterogeneous Treatment Effects in Obstructive Sleep Apnea
Lara Maleyeff, Shirin Golchi, Erica E. M. Moodie +1
Precision medicine tailors treatments to individual patient characteristics, which is especially valuable for conditions like obstructive sleep apnea (OSA), where treatment respons…
fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging
Lara Maleyeff, Shirin Golchi, Erica E. M. Moodie
Precision medicine aims to optimize treatment by identifying patient subgroups most likely to benefit from specific interventions. To support this goal, we introduce fkbma, an R pa…
Sparse two-stage Bayesian meta-analysis for individualized treatments
Junwei Shen, Erica E. M. Moodie, Shirin Golchi
Individualized treatment rules tailor treatments to patients based on clinical, demographic, and other characteristics. Estimation of individualized treatment rules requires the id…
An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables
Lara Maleyeff, Shirin Golchi, Erica E. M. Moodie +1
Precision medicine stands as a transformative approach in healthcare, offering tailored treatments that can enhance patient outcomes and reduce healthcare costs. As understanding o…
Bayesian Optimization for Identification of Optimal Biological Dose Combinations in Personalized Dose-Finding Trials
James Willard, Shirin Golchi, Erica EM Moodie
Early phase, personalized dose-finding trials for combination therapies seek to identify patient-specific optimal biological dose (OBD) combinations, which are defined as safe dose…
Covariate Adjustment in Bayesian Adaptive Randomized Controlled Trials
James Willard, Shirin Golchi, Erica EM Moodie
In conventional randomized controlled trials, adjustment for baseline values of covariates known to be at least moderately associated with the outcome increases the power of the tr…