We show that the nonparametric maximum likelihood estimate (NPMLE) of the regression coefficient from the joint likelihood (of the regression coefficient and the baseline survival) works well for the Cox proportional hazards model with left-truncated and interval-censored data, but the NPMLE may underestimate the baseline survival. Two alternatives are also considered: first, the marginal likel...

New dynamic Bayesian models for survival data analysis are applied in a study of contributory factors to unemployment. The models treat survival data as time series data, reflecting the need to model time varying relationships with explanatory variables that cannot be accommodated within standard proportional hazard models. In the present study, prior expectations that the effects of various so...

BACKGROUND AND OBJECTIVES To describe the association between social and problem gambling and first criminal arrest by age 23 in a cohort of urban, mainly African-American youth. METHODS Data for this study were derived from several annual interviews being completed on a community sample of 617 participants during late adolescence until age 23. Information on gambling status, engagement in de...

The European steel industry's workforce is highly heterogeneous and consists of various occupational groups, presumably facing different psychosocial stressors. The few existing studies on the subject mainly focused on physical constraints of blue-collar workers, whereas the supposable psychosocial workload received only little research attention. This is remarkable considering the challenges a...

This paper examines the introduction of premiums into the SCHIP program in Kentucky. Kentucky introduced a $20 monthly premium for SCHIP coverage for children with family incomes between 151 percent and 200 percent of the federal poverty level in December 2003. Administrative data between 2001 and 2004 is used to estimate a Cox proportional hazard model that predicts enrollment duration in this...

This paper analyses cause-specific mortality in ages 15-30 years in Finland, using longitudinal population register data that covers the period 1970-2004. The aim is to see how mortality risks interrelate with living conditions in the parental home and with regional confounders, in order to understand why the two native population groups of the country differ in mortality. Results based on Cox ...

Suppose that having established a marginal total effect of a point exposure on a time-to-event outcome, an investigator wishes to decompose this effect into its direct and indirect pathways, also known as natural direct and indirect effects, mediated by a variable known to occur after the exposure and prior to the outcome. This paper proposes a theory of estimation of natural direct and indirec...

One can fruitfully approach survival problems without covariates in an actuarial way. In narrow time bins, the number of people at risk is counted together with the number of events. The relationship between time and probability of an event can then be estimated with a parametric or semi-parametric model. The number of events observed in each bin is described using a Poisson distribution with t...