Results 301 to 310 of about 1,576,634 (357)
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A proportional hazards model for interval-censored failure time data.
Biometrics, 1986This paper develops a method for fitting the proportional hazards regression model when the data contain left-, right-, or interval-censored observations.
D. Finkelstein
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Non-proportional hazards models
2021The most general model, described in Chapter 4 covers a very broad spread of possibilities and, in this chapter, we consider some special cases.
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A stochastic proportional hazard model for the force of mortality [PDF]
Journal of Forecasting, 2006 AbstractIn order to avoid ‘frailty’ in deterministic assumptions concerning survival law, in this paper stochastic volatility in the force of mortality is considered. In particular, mortality rates are studied by means of a stochastic model of CIR type.
DI LORENZO, EMILIA +2 more
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Proportional hazards tests and diagnostics based on weighted residuals
, 1994SUMMARY Nonproportional hazards can often be expressed by extending the Cox model to include time varying coefficients; e.g., for a single covariate, the hazard function for subject i is modelled as exp { fl(t)Zi(t)}.
P. Grambsch, T. Therneau
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L1 Penalized Estimation in the Cox Proportional Hazards Model
Biometrical journal. Biometrische Zeitschrift, 2009This article presents a novel algorithm that efficiently computes L1 penalized (lasso) estimates of parameters in high‐dimensional models. The lasso has the property that it simultaneously performs variable selection and shrinkage, which makes it very ...
J. Goeman
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Masking Unmasked in the Proportional Hazards Model
Biometrics, 2000Summary.Influence measures based on the pairwise deletion approach and the differentiation approach are developed for unmasking observations masked by other observations in the proportional hazards model. These influential observations might have substantial impact on statistical inference and might provide important information for model adequacy. One
Wen Hsiang Wei, Michael R. Kosorok
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Goodness‐of‐fit test for proportional subdistribution hazards model
Statistics in Medicine, 2013This paper concerns using modified weighted Schoenfeld residuals to test the proportionality of subdistribution hazards for the Fine–Gray model, similar to the tests proposed by Grambsch and Therneau for independently censored data.
Bingqing Zhou, J. Fine, Glen Laird
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Change-points in proportional hazards model
2018This chapter studies regression models for hazard functions, with covariate processes and change-points at unknown time or covariate thresholds. We consider the nonparametric estimator of the baseline cumulative hazard function and the estimators that maximize the partial likelihood for the regression and the change-point parameters, their convergence ...
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Proportional transition hazards models
2011As with competing risks, the most widely used regression model for multistate data assumes a proportional hazards form for the transition hazards of the multistate model. We re-emphasize that the proportional hazards assumption is made for interpretational and technical convenience. As in Chapter 9, we consider n individuals under study with individual
Martin Schumacher +2 more
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A note on proportional hazards and proportional odds models
Statistics & Probability Letters, 2007The proportional hazards model has been used as a major model for analyzing survival data. When there are heavy ties, the proportional odds model is often recommended as an alternative. In this paper, we explore theoretical properties of these two models. We obtain a necessary condition for the discrete proportional odds model.
Amita K. Manatunga, Shande Chen
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