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A Proportional Hazard Model for Accident Data
Journal of the Royal Statistical Society. Series A (General), 1986Some problems associated with the classical approach to the analysis of accident data are reviewed briefly. An alternative analytical approach, based on \textit{J. D. Kalbfleisch} and \textit{R. L. Prentice}'s [The statistical analysis of failure time data (1980; Zbl 0504.62096), p. 181] extension of \textit{D. R. Cox}'s [J. R. Stat. Soc., ser.
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A note on proportional hazards and proportional odds models
Statistics & Probability Letters, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Shande, Manatunga, Amita K.
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On Valuation with Stochastic Proportional Hazard Models in Finance [PDF]
SSRN Electronic Journal, 2010 While the proportional hazard model is recognized to be statistically meaningful for analyzing and estimating financial event risks, the existing literature that analytically deals with the valuation problems is very limited. In this paper, adopting the proportional hazard model in continuous time setting, we provide an analytical treatment for the ...
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A Proportional Hazards Model for Truncated AIDS Data
Biometrics, 1993An important source of information on the latency period for AIDS is the data from individuals infected by contaminated blood transfusion. However, a difficulty in the analysis and interpretation of these data is that information is available only on individuals who are infected and develop the disease prior to some specific time.
Finkelstein, Dianne M. +2 more
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Tree-Structured Proportional Hazards Regression Modeling
Biometrics, 1994A method for fitting piecewise proportional hazards models to censored survival data is described. Stratification is performed recursively, using a combination of statistical tests and residual analysis. The bootstrap is employed to keep the probability of a Type I error (the error of discovering two or more strata when there is only one) of the method
Ahn, Hongshik, Loh, Wei-Yin
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Discrete Proportional Hazards Models for Mismeasured Outcomes
Biometrics, 2003Outcome mismeasurement can lead to biased estimation in several contexts. Magder and Hughes (1997, American Journal of Epidemiology 146, 195-203) showed that failure to adjust for imperfect outcome measures in logistic regression analysis can conservatively bias estimation of covariate effects, even when the mismeasurement rate is the same across ...
Meier, Amalia S. +2 more
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Urn sampling and the proportional hazard model.
Lifetime data analysis, 1999This paper investigates the urn sampling analogue for the score statistic relating survival to covariates assuming a proportional hazard model. The exact permutation distribution can be calculated as well as the exact low order moments for arbitrary censoring patterns. The asymptotic distribution of the score statistic is an easy consequence.
Davidov, Ori, Zelen, Marvin
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Proportional hazards mixed models
Advances in Methodology and Statistics, 2004We describe our recent work on mixed effects models for right-censored data. Vaida and Xu (2000) provided a general framework for handling random effects in proportional hazards (PH) regression, in a way similar to the linear, non-linear and generalized linear mixed effects models that allow random effects of arbitrary covariates.
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An Extension of the Proportional-Hazards Model for Grouped Data
Biometrics, 1983A family of transformations for probabilities is considered for the analysis of grouped survival data. Additive and multiplicative models for the hazard function are compared. A method is suggested for estimating the scale on which an additive representation of the hazard, in terms of explanatory variables, is appropriate.
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