In the context of the Cardiovascular Health Study, a comprehensive investigation into the risk factors for stroke, we apply Bayesian model averaging to the selection of variables in Cox proportional hazard models. We use an extension of the leaps and bounds algorithm for locating the models that are to be averaged over and make available S-PLUS software to implement the methods. Bayesian model ...

In the analysis of competing risk data, the observed effect of a covariate can be obtained via a Fine and Gray sub-distribution hazard ratio. Sometimes, it is also desirable to obtain the virtual effect of a covariate as if the competing risks were non-existent. Under the latent failure time scenario, when the event of interest and the competing risk event are independent, the cause-specific ha...

In this paper, we describe a new Stata command, stlh, which estimates and tests for the significance of the time-varying regression coefficients in Aalen’s linear hazards model; see Aalen (1989). We see two potential uses for this command. One may use it as an alternative to a proportional hazards or other nonlinear hazards regression model analysis to describe the effects of covariates on surv...

The aim of the study was to develop a profile, and to examine factors affecting the length of the racing career of 1759 Thoroughbreds (872 males and 887 females) in Poland. Product-limit survival analysis and Cox proportional hazards model was used to determine whether sex, age at first race, month of birth, trainer and performance at first season (money earned and number of starts) were associ...

Main Outcome and Measure: The relationship between vegetarian dietary patterns and all-cause and causespecific mortality; deaths through 2009 were identified from the National Death Index. Results: There were 2570 deaths among 73 308 participants during a mean follow-up time of 5.79 years. The mortality rate was 6.05 (95% CI, 5.82-6.29) deaths per 1000 person-years. The adjusted hazard ratio (H...

Statistical inference is reviewed for survival data applications with hazard models having one parameter per distinct failure time and using Jeffreys' (1961) vague priors. Distinction between a discrete hazard and a piecewise exponential model is made. Bayes estimators of survival probabilities ace derived. For a single sample and a discrete hazard, the Bayes estimator is shown to be larger tha...

The primary objective of this work was to investigate and compare the use of the Cox proportional hazards model and Aalen’s additive model in analysing survival data. Survival data from a study of 52 patients with advanced breast cancer was investigated using the Cox proportional hazards model. The model was optimized by examining different aspects by use of appropriate residual plots. Covariat...

PS PLUS software offers power providers the ability to implement intelligent gas turbine life cycle management processes. Operators wish to achieve higher availability by reducing unnecessary scheduled outages for either inspection or repair. PS-PLUS is a SPAR-based application that uses the MonteCarlo (MC) method to estimate machinery remaining useful life. The method predicts the scope and sc...

Estimation is studied in a regression model for counting processes whose baseline intensity processes are of semi-Markov form. Asymptotic normality is established for a Breslow-type estimator of the cumulative baseline hazard for each gap time of the counting process.

The analysis of event sequence data that contains system failures is becoming increasingly important in the design of service and maintenance policies. This paper presents a systematic methodology to construct a statistical prediction model for failure event based on event sequence data. First, frequent failure signatures, defined as a group of events/errors that repeatedly occur together, are ...