Pages that link to "Item:Q1816601"

The following pages link to Efficient estimation for the proportional hazards model with interval censoring (Q1816601):

Displaying 50 items.

• Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data (Q1662917) (← links)
• Regression under Cox's model for recall-based time-to-event data in observational studies (Q1663153) (← links)
• Regression analysis of multivariate current status data with auxiliary covariates under the additive hazards model (Q1663306) (← links)
• Efficient estimation of quasi-likelihood models using \(B\)-splines (Q1680801) (← links)
• Additive time-dependent hazard model with doubly truncated data (Q1740306) (← links)
• Frailty models for arbitrarily censored and truncated data (Q1770868) (← links)
• Efficient estimation of Banach parameters in semiparametric models (Q1781163) (← links)
• Linear regression with interval censored data (Q1807121) (← links)
• Inference about the ratio of scale parameters in a two-sample setting with current status data (Q1808692) (← links)
• Two estimators of the mean of a counting process with panel count data. (Q1848799) (← links)
• Tests against inequality constraints in semiparametric models (Q1866207) (← links)
• Nonparametric regression with current status data (Q1881004) (← links)
• Weighted likelihood estimation under two-phase sampling (Q1952451) (← links)
• Efficient estimation of regression coefficients and baseline hazard under proportionality of conditional hazards (Q1972160) (← links)
• Using the accelerated failure time model to analyze current status data with misclassified covariates (Q2044340) (← links)
• Asymptotic properties of likelihood ratio statistics in competing risks model under interval random censoring (Q2062059) (← links)
• A new method for regression analysis of interval-censored data with the additive hazards model (Q2131959) (← links)
• Penalized nonparametric likelihood-based inference for current status data model (Q2154944) (← links)
• A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates (Q2163804) (← links)
• Two-step semiparametric empirical likelihood inference (Q2176605) (← links)
• Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data (Q2218809) (← links)
• Generalized accelerated hazards mixture cure models with interval-censored data (Q2242027) (← links)
• Semiparametric least-squares regression with doubly-censored data (Q2242178) (← links)
• Semiparametric inference for merged data from multiple data sources (Q2242870) (← links)
• Hypothesis testing with paired partly interval censored data (Q2274178) (← links)
• A class of semiparametric cure models with current status data (Q2274659) (← links)
• Semiparametric estimation for the non-mixture cure model in case-cohort and nested case-control studies (Q2291304) (← links)
• Estimation of the additive hazards model with case \(K\) interval-censored failure time data in the presence of informative censoring (Q2291330) (← links)
• Efficient estimation in single index models through smoothing splines (Q2295045) (← links)
• Efficient sieve maximum likelihood estimation of time-transformation models (Q2320838) (← links)
• Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction (Q2337324) (← links)
• Conditional MLE for the proportional hazards model with left-truncated and interval-censored data (Q2348332) (← links)
• Penalized log-likelihood estimation for partly linear transformation models with current status data (Q2368853) (← links)
• Regression analysis for bivariate gap time with missing first gap time data (Q2397794) (← links)
• Current status linear regression (Q2413595) (← links)
• Maximum penalized likelihood estimation of additive hazards models with partly interval censoring (Q2416779) (← links)
• Efficient estimation of the varying-coefficient partially linear proportional odds model with current status data (Q2422117) (← links)
• Nonparametric maximum likelihood analysis of clustered current status data with the gamma-frailty Cox model (Q2445813) (← links)
• An overview of semiparametric models in survival analysis (Q2454018) (← links)
• Additive risk model with case-cohort sampled current status data (Q2457785) (← links)
• Consistency of the generalized MLE of a joint distribution function with multivariate interval-censored data (Q2489778) (← links)
• Sequential estimation for semiparametric models with application to the proportional hazards model (Q2500638) (← links)
• Convergence rates of MLE in a partly linear model (Q2503849) (← links)
• Robust semiparametric M-estimation and the weighted bootstrap (Q2571818) (← links)
• Locally efficient estimation of regression parameters using current status data (Q2581829) (← links)
• Likelihood based inference for monotone response models (Q2642735) (← links)
• Complex sampling designs: uniform limit theorems and applications (Q2656604) (← links)
• Regression analysis of interval-censored data with informative observation times under the accelerated failure time model (Q2674943) (← links)
• Empirical Analysis of Interval-Censored Failure Time Data with Linear Transformation Models (Q2807632) (← links)
• The T-type estimate of a class of partially non linear models (Q2807746) (← links)