Results 221 to 230 of about 203,044 (255)
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Relating Cox's Proportional Hazard Model to the Exponential Model for Survival
Biometrical Journal, 1987AbstractAn approximate representation is given for the partial likelihood estimate of the regression coefficient in Cox's proportional hazard model which indicates how it measures the association between survival time and covariate. The case of a single covariate is concentrated on.
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L1Penalized Estimation in the Cox Proportional Hazards Model
Biometrical Journal, 2010AbstractThis article presents a novel algorithm that efficiently computesL1penalized (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 useful for finding interpretable prediction rules in high‐dimensional data. The new algorithm is
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Diagnostics for Cox’s Proportional Hazards Model
2004Although Cox’s proportional hazards model is applied so often, diagnostic methods are not well known to non-expert users. Latest results suggest that individually scaled Schoenfeld residuals, dfbetas and added variable plots should be provided for assessing the model. Most of these methods are absent from widely used packages.
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Cox Proportional Hazards Regression Model
2001The Cox proportional hazards model 132 is the most popular model for the analysis of survival data. It is a semiparametric model; it makes a parametric assumption concerning the effect of the predictors on the hazard function, but makes no assumption regarding the nature of the hazard function λ(t) itself.
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Multiple Imputation for the Cox Proportional Hazards Model with Missing Covariates
Lifetime Data Analysis, 1997We present three multiple imputation estimates for the Cox model with missing covariates. Two of the suggested estimates are asymptotically equivalent to estimates in the literature when the number of multiple imputations approaches infinity. The third estimate can be implemented using standard software that could handle time-varying covariates.
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Essays on semiparametric cox proportional hazard models
2009In this dissertation I study different versions of the semiparametric proportional hazard duration model and their practical applications under both frequentist and Bayesian econometrics frameworks. I use the unemployment spell data set that is created from the Panel Study of Income Dynamics (PSID).In Chapter 1 I study the effects of unemployment ...
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Survival analysis—part 2: Cox proportional hazards model
Indian Journal of Thoracic and Cardiovascular Surgery, 2021Salil V Deo, Varun Sundaram
exaly

