An empirical Bayes approach is proposed as a means of utilizing historical control information in modelling the relationship between the level of exposure to the test agent and the rate of tumour occurrence in carcinogenicity bioassays. Using a simple two-parameter linear logistic model, it is...

We propose a Poisson modelling approach to random effects Cox proportional hazards models. Specifically we describe methods of statistical inference for a class of random effects Cox models which accommodate a wide range of nested random effects distributions. The orthodox BLUP approach to...

To better understand how health risks are conceptualised by the Canadian public, exploratory and confirmatory factor analytic techniques were applied to data from a recent national telephone survey on health risk perception (N = 1503). Hazards assessed comprised an array of 30 items selected a...

In the field of risk analysis, there is ongoing tension between expert risk assessment and public risk perception. This paper presents the results of a health risk perception survey administered to Canadian health experts as a follow-up to a previous survey. A total of 125 experts (75 physicians...

Geomatics and related technologies allow for the application of integrated approaches to the analysis of individual spatial and temporal activities in the context of place and health research. The ability to track individuals as they make decisions and negotiate space may provide a fundamental...

We propose a James-Stein-type shrinkage estimator for the parameter vector in a general linear model when it is suspected that some of the parameters may be restricted to a subspace. The James-Stein estimator is shown to demonstrate asymptotically superior risk performance relative to the...