Population models for the health effects of ionizing radiation.
In this paper we review recently-developed extension frailty, quadratic hazard, stochastic process, microsimulation, and linear latent structure models, which have the potential to describe the health effects of human populations exposed to ionizing radiation. We discuss the most common situations for which such models are appropriate. We also provide examples of how to estimate the parameters of these models from datasets of various designs. Carcinogenesis models are reviewed in context of application to epidemiologic data of population exposed to ionizing radiation. We also discuss the ways of how to generalize stochastic process and correlated frailty models for longitudinal and family analyses in radiation epidemiology.
Akushevich
I
I
Center for Demographic Studies, Duke University, Durham, NC 27708, USA. igor.akushevich@duke.edu
Manton
K G
KG
Kulminski
A
A
Kovtun
M
M
Kravchenko
J
J
Yashin
A
A
D005190:Family; D006262:Health; D006801:Humans; D008137:Longitudinal Studies; D006278:Medicare; D008962:Models, Theoretical; D009381:Neoplasms, Radiation-Induced / Q000453:epidemiology; D011153:Population; D016016:Proportional Hazards Models; D011839:Radiation, Ionizing; D012307:Risk Factors; D013269:Stochastic Processes; D014481:United States