Survival models for life-time data and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, engineering etc., but they have still found less recognition in economics, however they are very helpful in the analysis of economic duration data. This paper provides a reanalysis of the Pennsylvania Reemployment Bonus Experiments, which were conducted...

BACKGROUND Regression models for survival data have traditionally been based on the Cox regression model. However, its validity relies heavily on assumption of proportional hazards. Another restriction of the Cox model is insufficiency in dealing with time-varying covariate effects, since the regression coefficients are assumed constant. These weaknesses have generated interest in alternative a...

RESEARCH DESIGN AND METHODSdParticipants were drawn from representative samples of adults living in England and Scotland. Cox proportional hazards regression models were used to relate baseline plasma CRP with all-cause and CVD mortality during follow-up in men and women with and without diabetes. The added value of CRP to the predictions was assessed through c-statistic comparison and relative...

Main Outcome Measures: Dietary and supplemental calcium intake was assessed at baseline (19951996). Supplemental calcium intake included calcium from multivitamins and individual calcium supplements. Cardiovascular disease deaths were ascertained using the National Death Index. Multivariate Cox proportional hazards regression models adjusted for demographic, lifestyle, and dietary variables wer...

Prognostic factors: stroke was defined as a focal neurological deficit of acute onset, persisting for .24 hours. Cardiovascular risk factors (data collected biennially) included hypertension, diabetes mellitus, atrial fibrillation, cigarette smoking status, and apolipoprotein E genotype. Association between incident stroke and development of dementia was assessed using a Cox proportional hazard...

The Cox proportional hazards model has become the standard in biomedical studies, particularly for settings in which the estimation covariate effects (as opposed to prediction) is the primary objective. In spite of the obvious flexibility of this approach and its wide applicability, the model is not usually chosen for its fit to the data, but by convention and for reasons of convenience. It is ...

Previous research on closed-source software found that highly coupled software modules were more defect prone, which makes it important to understand the effect of coupling on defect proneness in open-source software (OSS) projects. For this purpose, we used Cox proportional hazards modeling with recurrent events. We found that the effect of coupling was significant, and we quantified this effe...