20 citations · 52 across the 10 of their papers we have counts for
Showing stat.APShow all
2 papers · 1 filter
stat.AP2017★ 1 cited
A unified framework for fitting Bayesian semiparametric models to arbitrarily censored survival data, including spatially-referenced data
Haiming Zhou, Timothy Hanson
A comprehensive, unified approach to modeling arbitrarily censored spatial survival data is presented for the three most commonly-used semiparametric models: proportional hazards,…
stat.AP2015★ 20 cited
Modeling county level breast cancer survival data using a covariate-adjusted frailty proportional hazards model
Haiming Zhou, Timothy Hanson, Alejandro Jara +1
Understanding the factors that explain differences in survival times is an important issue for establishing policies to improve national health systems. Motivated by breast cancer…