A Two-Phase Poisson Process Model and Its Application


3

Day & Time
16th October 2015, 15:00-
Venue
Room C816, Building of the Faculty of Science Graduate school of Science
Lecturer
Presentation Title
A Two-Phase Poisson Process Model and Its Application
Abstract
We consider a two-phase Poisson process model where only early successive transitions are assumed to be sensitive to exposure. In the case where intensity transitions are low, we derive analytically an approximate formula for the distribution of time to event for the excess hazard ratio (EHR) due to a single point exposure. The formula for EHR is a polynomial in exposure dose. Since the formula for EHR contains no unknown parameters except for the number of total stages, number of exposure-sensitive stages, and a coefficient of exposure effect, it is applicable easily under a variety of situations where there exists a possible latency time from a single point exposure to occurrence of event. Based on the multistage hypothesis of cancer, we formulate a radiation carcinogenesis model in which only some early consecutive stages of the process are sensitive to exposure, whereas later stages are not affected. An illustrative analysis using the proposed model is given for cancer mortality among A-bomb survivors.
○Prof. Megu OHTAKI is going to lecture based on the following paper.
A two-phase Poisson process model and its application to analysis of cancer mortality among A-bomb survivors