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…
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…
stat.CO2017
Bayesian Computation for Log-Gaussian Cox Processes--A Comparative Analysis of Methods
Ming Teng, Farouk S. Nathoo, Timothy D. Johnson
The Log-Gaussian Cox Process is a commonly used model for the analysis of spatial point patterns. Fitting this model is difficult because of its doubly-stochastic property, i.e., i…