The software package BAMP provides a method of analyzing incidence or mortality data on the Lexis diagram, using a Bayesian version of an age-period-cohort model. A hierarchical model is assumed with a binomial model in the first-stage. As smoothing priors for the age, period and cohort...

Dependence modelling and estimation is a key issue in the assessment of portfolio risk. When measuring extreme risk in terms of the Value-at-Risk, the multivariate normal model with linear correlation as its natural dependence measure is by no means an ideal model. We suggest a large class of...

The large increase in computer use has raised the question whether people have to be taught computer skills before entering the labour market. Using data from the 1997 Skills Survey of the Employed British Workforce, we argue that neither the increase in computer use nor the fact that...

In geographical epidemiology, disease counts are typically available in discrete spatial units and at discrete time-points. For example, surveillance data on infectious diseases usually consists of weekly counts of new infections in pre-defined geographical areas. Similarly, but on a different...

The p-value quantifies the discrepancy between the data and a null hypothesis of interest, usually the assumption of no difference or no effect. A Bayesian approach allows the calibration of p-values by transforming them to direct measures of the evidence against the null hypothesis, so-called...

Increasing evidence suggests that the reproducibility and replicability of scientific findings is threat-ened by researchers employing questionable research practices (QRP) in order to achieve publishable, positive and significant results. Numerous metrics have been developed to determine...