Pages that link to "Item:Q3367601"

The following pages link to On semiparametric transformation cure models (Q3367601):

Displaying 50 items.

• A nonparametric maximum likelihood approach for survival data with observed cured subjects, left truncation and right-censoring (Q106558) (← links)
• Marginal regression analysis of clustered failure time data with a cure fraction (Q151128) (← links)
• Partial marginal likelihood estimation for general transformation models (Q391907) (← links)
• Marginal analysis of multivariate failure time data with a surviving fraction based on semiparametric transformation cure models (Q425671) (← links)
• A class of semiparametric transformation models for survival data with a cured proportion (Q509831) (← links)
• An EM algorithm for the destructive COM-Poisson regression cure rate model (Q682051) (← links)
• A semiparametric regression cure model for doubly censored data (Q725421) (← links)
• A new threshold regression model for survival data with a cure fraction (Q746094) (← links)
• An extended cure model and model selection (Q746135) (← links)
• The ROC of Cox proportional hazards cure models with application in cancer studies (Q825217) (← links)
• Properties of estimators of baseline hazard functions in a semiparametric cure model (Q870495) (← links)
• Mixture cure model with an application to interval mapping of quantitative trait loci (Q878290) (← links)
• A mixture cure-rate model for responses and response times in time-limit tests (Q888030) (← links)
• Additive risk model for current status data with a cured subgroup (Q907089) (← links)
• Fitting semiparametric cure models (Q951809) (← links)
• Semiparametric analysis based on weighted estimating equations for transformation models with missing covariates (Q990891) (← links)
• Discovery, visualization and performance analysis of enterprise workflow (Q1019892) (← links)
• Maximum likelihood estimation in the proportional hazards cure model (Q1029656) (← links)
• A new semiparametric estimation method for accelerated hazards mixture cure model (Q1621209) (← links)
• Association measures for bivariate failure times in the presence of a cure fraction (Q1641899) (← links)
• Regression analysis of current status data in the presence of a cured subgroup and dependent censoring (Q1641906) (← links)
• Partially linear transformation cure models for interval-censored data (Q1660211) (← links)
• Long-term survival models with overdispersed number of competing causes (Q1663191) (← links)
• A class of semiparametric transformation cure models for interval-censored failure time data (Q1727901) (← links)
• A general transformation class of semiparametric cure rate frailty models (Q1926007) (← links)
• Regression analysis of doubly censored data with a cured subgroup under a class of promotion time cure models (Q2042267) (← links)
• The proportional mean residual life regression model with cure fraction and auxiliary covariate (Q2125650) (← links)
• A stochastic version of the EM algorithm for mixture cure model with exponentiated Weibull family of lifetimes (Q2156017) (← links)
• Life expectancy improvement for multiple cure distributions (Q2209787) (← links)
• Semiparametric methods for survival data with measurement error under additive hazards cure rate models (Q2223335) (← links)
• Varying coefficient transformation cure models for failure time data (Q2223342) (← links)
• Identifiability of cure models revisited (Q2252900) (← links)
• Semiparametric estimation for cure survival model with left-truncated and right-censored data and covariate measurement error (Q2273713) (← links)
• A class of semiparametric cure models with current status data (Q2274659) (← links)
• Joint modeling of longitudinal and cure-survival data (Q2320840) (← links)
• Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction (Q2337324) (← links)
• Association estimation for clustered failure time data with a cure fraction (Q2359473) (← links)
• On the likelihood of mixture cure models (Q2406803) (← links)
• Extending the long-term survivor mixture model with random effects for clustered survival data (Q2445665) (← links)
• Semiparametric estimation in the proportional hazard model accounting for a misclassified cause of failure (Q2809518) (← links)
• Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction (Q2829469) (← links)
• Efficient Estimation for Linear Transformation Models with Current Status Data (Q2865266) (← links)
• Efficient semiparametric mixture inferences on cure rate models for competing risks (Q2949768) (← links)
• A semiparametric mixture cure survival model for left-truncated and right-censored data (Q2980223) (← links)
• Semiparametric Estimation in Transformation Models with Cure Fraction (Q3064078) (← links)
• A Study of Suicide Risk Using a Cox Cure Model via a Retrospective Sampling and Multiple Imputation (Q3167870) (← links)
• A Bayesian approach to mixture cure models with spatial frailties for population-based cancer relative survival data (Q3225768) (← links)
• Semiparametric analysis of case <i>K</i> interval-censored failure time data in the presence of a cured subgroup and informative censoring (Q3389614) (← links)
• Modeling clustered long‐term survivors using marginal mixture cure model (Q4584976) (← links)
• Semiparametric transformation models for interval‐censored data in the presence of a cure fraction (Q4626723) (← links)