3 papers
stat.ME2025
Survival Analysis with Discrete Biomarkers Under a Semiparametric Bayesian Conditional Poisson Model
Aijun Yang, Phineas T. Hamilton, Brad H. Nelson +3
Discrete biomarkers derived as cell densities or counts from tissue microarrays and immunostaining are widely used to study immune signatures in relation to survival outcomes in ca…
stat.ME2025
POI-SIMEX for Conditionally Poisson Distributed Biomarkers from Tissue Histology
Aijun Yang, Phineas T. Hamilton, Brad H. Nelson +3
Covariate measurement error in regression analysis is an important issue that has been studied extensively under the classical additive and the Berkson error models. Here, we consi…
math.ST2025
Strong Consistency of the SIMEX Estimator in Linear Regression with a Conditionally Poisson Covariate
Aijun Yang, Mary Lesperance, Farouk S. Nathoo
This paper considers estimation for linear regression analysis with covariate measurement error arising from Poisson surrogates. We consider cases where covariates follow a conditi…