Pages that link to "Item:Q5467683"

The following pages link to Maximum Likelihood Estimation in a Semiparametric Logistic/Proportional-Hazards Mixture Model (Q5467683):

Displaying 40 items.

• A dynamic Mover-Stayer model for recurrent event processes subject to resolution (Q509836) (← links)
• A marginal regression model for multivariate failure time data with a surviving fraction (Q636126) (← links)
• Maximum likelihood estimation in a partially observed stratified regression model with censored data (Q652613) (← links)
• A semiparametric regression cure model for doubly censored data (Q725421) (← links)
• Accelerated hazards mixture cure model (Q745978) (← links)
• Firth adjusted score function for monotone likelihood in the mixture cure fraction model (Q825208) (← links)
• The ROC of Cox proportional hazards cure models with application in cancer studies (Q825217) (← links)
• Semiparametric estimation for proportional hazards mixture cure model allowing non-curable competing risk (Q826975) (← links)
• Analysis of a semiparametric mixture model for competing risks (Q907102) (← links)
• Asymptotic properties of the maximum likelihood estimator for the proportional hazards model with doubly censored data (Q968486) (← links)
• Maximum likelihood estimation in the proportional hazards cure model (Q1029656) (← links)
• Analysis of two-sample censored data using a semiparametric mixture model (Q1036918) (← links)
• Regression analysis of current status data in the presence of a cured subgroup and dependent censoring (Q1641906) (← links)
• Maximum likelihood estimation in the logistic regression model with a cure fraction (Q1952195) (← links)
• The proportional mean residual life regression model with cure fraction and auxiliary covariate (Q2125650) (← links)
• Mixture cure rate models with neural network estimated nonparametric components (Q2135913) (← links)
• A general approach for cure models in survival analysis (Q2215740) (← links)
• Semiparametric methods for survival data with measurement error under additive hazards cure rate models (Q2223335) (← links)
• A class of semiparametric cure models with current status data (Q2274659) (← links)
• Piecewise linear approximations for cure rate models and associated inferential issues (Q2404171) (← links)
• Smooth semi-nonparametric analysis for mixture cure models and its application to breast cancer (Q2802873) (← links)
• An Alternative Estimation Method for the Semiparametric Accelerated Failure Time Mixture Cure Model (Q3652738) (← links)
• Two‐Component Mixture Cure Rate Model with Spline Estimated Nonparametric Components (Q4649047) (← links)
• Regression analysis of interval-censored failure time data with cured subgroup and mismeasured covariates (Q5085573) (← links)
• On some inferential issues for the destructive COM-Poisson-generalized gamma regression cure rate model (Q5087982) (← links)
• Bayesian approach for proportional hazards mixture cure model allowing non-curable competing risk (Q5107730) (← links)
• A weighted Poisson distribution and its application to cure rate models (Q5154078) (← links)
• Residual‐based model diagnosis methods for mixture cure models (Q5283305) (← links)
• (Q5323643) (← links)
• Cure Rate Quantile Regression for Censored Data With a Survival Fraction (Q5406377) (← links)
• Zero-inflated generalized extreme value regression model for binary response data and application in health study (Q5887954) (← links)
• Modified score function for monotone likelihood in the semiparametric mixture cure model (Q6068494) (← links)
• Asymptotic justification of maximum likelihood estimation for the proportional excess hazard model in analysis of cancer registry data (Q6134371) (← links)
• Accelerated failure time vs Cox proportional hazards mixture cure models: David vs Goliath? (Q6157043) (← links)
• Profile likelihood estimation for the cox proportional hazards (PH) cure model and standard errors (Q6494438) (← links)
• Piecewise linear approximations of baseline under proportional hazards based COM-Poisson cure models (Q6558491) (← links)
• Default risk analysis via a discrete-time cure rate model (Q6571859) (← links)
• Analysis of clustered failure time data with cure fraction using copula (Q6625192) (← links)
• Mixture proportional hazards cure model with latent variables (Q6628201) (← links)
• Controlled variable selection in Weibull mixture cure models for high-dimensional data (Q6628564) (← links)