Pages that link to "Item:Q3023644"

The following pages link to Semiparametric linear transformation models for current status data (Q3023644):

Displaying 29 items.

• On efficient estimation in additive hazards regression with current status data (Q435007) (← links)
• Nonparametric estimation of current status data with dependent censoring (Q746158) (← links)
• Generalized additive models for current status data (Q1383978) (← links)
• Rank regression for current status data (Q1903171) (← links)
• A penalized likelihood approach for efficiently estimating a partially linear additive transformation model with current status data (Q2044377) (← links)
• Kernel machines for current status data (Q2051247) (← links)
• A class of semiparametric cure models with current status data (Q2274659) (← links)
• Survival function estimation of current status data with dependent censoring (Q2288776) (← links)
• Estimating Incidence Rate on Current Status Data with Application to a Phase IV Cancer Trial (Q2865261) (← links)
• Efficient Estimation for Linear Transformation Models with Current Status Data (Q2865266) (← links)
• Semiparametric transformation models for current status data with informative censoring (Q2919464) (← links)
• Weighted Estimator for the Linear Transformation Models with Multivariate Failure Time Data (Q2931553) (← links)
• Cox regression for current status data with mismeasured covariates (Q3019144) (← links)
• Analysis of Current Status Data with Missing Covariates (Q3100777) (← links)
• Semiparametric Bayes' Proportional Odds Models for Current Status Data with Underreporting (Q3100821) (← links)
• Semiparametric probit models with univariate and bivariate current-status data (Q3119805) (← links)
• Semiparametric regression analysis of two-sample current status data, with applications to tumorigenicity experiments (Q3512635) (← links)
• Generalizations of current status data with applications (Q4218185) (← links)
• Linear transformation models for interval-censored data (Q4970925) (← links)
• Regression Analysis of Multivariate Current Status Data with Semiparametric Transformation Frailty Models (Q5109935) (← links)
• Semiparametric analysis of incomplete current status outcome data under transformation models (Q5170200) (← links)
• Regression Analysis of Current Status Data Under the Additive Hazards Model with Auxiliary Covariates (Q5177954) (← links)
• Regression analysis of informatively interval-censored failure time data with semiparametric linear transformation model (Q5228596) (← links)
• Risk prediction with imperfect survival outcome information from electronic health records (Q6056145) (← links)
• Developing and evaluating risk prediction models with panel current status data (Q6074506) (← links)
• A new approach to regression analysis of linear transformation model with interval-censored data (Q6115033) (← links)
• Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model (Q6573295) (← links)
• Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors (Q6580640) (← links)
• Regression analysis of randomized response event time data (Q6671913) (← links)