Pages that link to "Item:Q3455821"

The following pages link to Sieve maximum likelihood regression analysis of dependent current status data (Q3455821):

Displaying 50 items.

• Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data (Q124843) (← links)
• A pool-adjacent-violators type algorithm for non-parametric estimation of current status data with dependent censoring (Q509838) (← links)
• Nonparametric estimation of current status data with dependent censoring (Q746158) (← links)
• An additive hazards cure model with informative interval censoring (Q825223) (← links)
• Regression analysis of current status data with latent variables (Q825270) (← links)
• Testing current status data for dependent censoring (Q1573118) (← links)
• Regression analysis of current status data in the presence of a cured subgroup and dependent censoring (Q1641906) (← links)
• Sieve maximum likelihood estimation for the proportional hazards model under informative censoring (Q1654279) (← links)
• Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments (Q1658419) (← links)
• Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data (Q1662917) (← links)
• Joint analysis of interval-censored failure time data and panel count data (Q1698944) (← links)
• A new method for regression analysis of interval-censored data with the additive hazards model (Q2131959) (← links)
• A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates (Q2163804) (← links)
• Generalized accelerated hazards mixture cure models with interval-censored data (Q2242027) (← links)
• Survival function estimation of current status data with dependent censoring (Q2288776) (← links)
• Estimation of the additive hazards model with case \(K\) interval-censored failure time data in the presence of informative censoring (Q2291330) (← links)
• Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data (Q2301055) (← links)
• Sharp minimax distribution estimation for current status censoring with or without missing (Q2656609) (← links)
• Simultaneous Estimation and Variable Selection for Interval-Censored Data With Broken Adaptive Ridge Regression (Q3304848) (← links)
• Analysis of Gap Times Based on Panel Count Data With Informative Observation Times and Unknown Start Time (Q4690958) (← links)
• Regression analysis of bivariate current status data under the proportional hazards model (Q4960862) (← links)
• Regression analysis of informative current status data with the semiparametric linear transformation model (Q5036494) (← links)
• Regression analysis of dependent current status data with the accelerated failure time model (Q5042202) (← links)
• Variable Selection of Interval-Censored Failure Time Data (Q5050428) (← links)
• A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments Under Weibull Lifetimes (Q5051095) (← links)
• Regression analysis of case II interval-censored data with auxiliary covariates (Q5078886) (← links)
• Estimation of the additive hazards model with linear inequality restrictions based on current status data (Q5079215) (← links)
• Regression analysis of interval-censored failure time data with cured subgroup and mismeasured covariates (Q5085573) (← links)
• SEMIPARAMETRIC REGRESSION ANALYSIS OF REPEATED CURRENT STATUS DATA [ (Q5278095) (← links)
• Inference on semiparametric transformation model with general interval-censored failure time data (Q5375956) (← links)
• Regression analysis of case-cohort studies in the presence of dependent interval censoring (Q5861568) (← links)
• Estimation of complier causal treatment effects with informatively interval-censored failure time data (Q6058532) (← links)
• Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model (Q6059441) (← links)
• New methods for the additive hazards model with the informatively interval‐censored failure time data (Q6064196) (← links)
• Variable Selection for Interval‐censored Failure Time Data (Q6067573) (← links)
• Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring (Q6071450) (← links)
• Cluster non‐Gaussian functional data (Q6076496) (← links)
• A new approach for regression analysis of multivariate current status data with informative censoring (Q6084120) (← links)
• Regression analysis of misclassified current status data with informative observation times (Q6131031) (← links)
• Generalized Odds Rate Frailty Models for Current Status Data with Informative Censoring (Q6144620) (← links)
• Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data (Q6164154) (← links)
• Bayesian empirical analysis of the proportional hazards model for right-censored failure time data (Q6181856) (← links)
• The sparse estimation of the semiparametric linear transformation model with dependent current status data (Q6547181) (← links)
• Accelerated hazards model and its extensions for interval-censored data (Q6547603) (← links)
• Efficient estimation for the proportional hazards model with left-truncated and interval-censored data (Q6548888) (← links)
• Variable selection for misclassified current status data under the proportional hazards model (Q6558519) (← links)
• Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model (Q6573295) (← links)
• Variable selection in proportional odds model with informatively interval-censored data (Q6579430) (← links)
• Estimation of a clustering model for non Gaussian functional data (Q6588675) (← links)
• A new frailty-based GEE approach of the informatively case <i>K</i> interval-censored failure time data (Q6588679) (← links)