An application of a marked point process in pre-clinical medicine.
Several authors have employed marked point processes to model complex survival time data. In this paper it is proposed to illustrate further the flexibility of marked point processes by using such a framework to model pre-clinical data which comprise survival times accompanied by ordinal outcomes.
Berridge
D M
DM
Centre for Applied Statistics, Lancaster University, U.K.
D000311:Adrenal Glands / Q000187:drug effects; D000818:Animals; D002273:Carcinogens / Q000633:toxicity; D002423:Cause of Death; D005260:Female; D016013:Likelihood Functions; D008297:Male; D008432:Mathematical Computing; D008954:Models, Biological; D016016:Proportional Hazards Models; D051381:Rats; D012737:Sex Factors; D013269:Stochastic Processes; D016019:Survival Analysis
D002273:Carcinogens