2 papers
stat.ME2024
Bayesian hierarchical models with calibrated mixtures of g-priors for assessing treatment effect moderation in meta-analysis
Qiao Wang, Hwanhee Hong
Assessing treatment effect moderation is critical in biomedical research and many other fields, as it guides personalized intervention strategies to improve participant's outcomes.…
stat.AP2024
Bayesian Hierarchical Model for Synthesizing Registry and Survey Data on Female Breast Cancer Prevalence
Qiao Wang, Chester Lee Schmaltz, Jeannette Jackson-Thompson +4
In public health, it is critical for policymakers to assess the relationship between the disease prevalence and associated risk factors or clinical characteristics, facilitating ef…