Description streg performs maximum likelihood estimation for parametric regression survival-time models. streg can be used with singleor multiple-record or singleor multiple-failure st data. Survival models currently supported are exponential, Weibull, Gompertz, lognormal, loglogistic, and generalized gamma. Parametric frailty models and shared-frailty models are also fit using streg. Also see ...

This paper uses the Cox proportional hazards model to analyze recent Broadway show data to investigate the factors that relate to the longevity of shows The type of show whether a show is a revival and rst week attendance for the show are predictive for longevity Favorable critic re views in the Daily News are related to greater success but reviews in The New York Times are not Winning major To...

We extend the proportional hazards model to a two level model with a random intercept term and random coeecients. The parameters in the multilevel model are estimated by a combination of EM and Newton-Raphson algorithms. Even for samples of 50 groups, this method produces estimators of the regression coeecient which are approximately unbiased and normally distributed. Two diierent methods, obse...

Persson, I. 2002. Essays on the Assumption of Proportional Hazards in Cox Regression. Acta Universitatis Upsaliensis. Comprehensive Summaries of Uppsala Dissertations from the Faculty of Social Sciences 110. 36 pp. Uppsala. ISBN 91-554-5208-6. This thesis consists of four papers about the assumption of proportional hazards for the Cox model in survival analysis. The first paper compares the haz...

background: kidney transplantation is the best alternative treatment for end-stage renal disease. several studies have been devoted to investigate predisposing factors of graft rejection. however, there is inconsistency between the results. the objective of the present study was to utilize an intuitive and robust approach for variable selection, random survival forests (rsf), and to identify im...

In this paper, we propose a class of informative prior distributions for Cox’s proportional hazards model. A novel construction of the prior is developed based on the notion of the availability of historical data. In many situations, especially in clinical trials, the investigator has historical data from past studies which are similar to the current study. We take a semi-parametric approach in...