Results 261 to 270 of about 228,669 (304)

Visualizing covariates in proportional hazards model

Statistics in Medicine, 2009
AbstractWe present a graphical method called the rank‐hazard plot that visualizes the relative importance of covariates in a proportional hazards model. The key idea is to rank the covariate values and plot the relative hazard as a function of ranks scaled to interval [0, 1].
Juha, Karvanen, Frank E, Harrell
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Proportional hazards model with random effects

Statistics in Medicine, 2000
We propose a general proportional hazards model with random effects for handling clustered survival data. This generalizes the usual frailty model by allowing a multivariate random effect with arbitrary design matrix in the log relative risk, in a way similar to the modelling of random effects in linear, generalized linear and non-linear mixed models ...
F, Vaida, R, Xu
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Frailty models that yield proportional hazards

Statistics & Probability Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aalen, Odd O., Hjort, Nils Lid
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A Proportional Hazard Model for Accident Data

Journal of the Royal Statistical Society. Series A (General), 1986
Some 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, 2007
zbMATH 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, 1993
An 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., Moore, Dirk F., Schoenfeld, David A.   +2 more
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Tree-Structured Proportional Hazards Regression Modeling

Biometrics, 1994
A 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, 2003
Outcome 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., Richardson, Barbra A., Hughes, James P.   +2 more
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Urn sampling and the proportional hazard model.

Lifetime data analysis, 1999
This 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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