Pages that link to "Item:Q4960862"
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The following pages link to Regression analysis of bivariate current status data under the proportional hazards model (Q4960862):
Displaying 26 items.
- Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data (Q124843) (← links)
- Efficient estimation for additive hazards regression with bivariate current status data (Q424308) (← links)
- Regression analysis of censored data with nonignorable missing covariates and application to Alzheimer disease (Q830487) (← links)
- Efficient estimation for the proportional hazards model with bivariate current status data (Q953242) (← links)
- Regression analysis of bivariate current status data under the gamma-frailty proportional hazards model using the EM algorithm (Q1623788) (← links)
- Modelling the association in bivariate survival data by using a Bernstein copula (Q2135890) (← links)
- A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates (Q2163804) (← links)
- Estimation of the additive hazards model with case \(K\) interval-censored failure time data in the presence of informative censoring (Q2291330) (← links)
- Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme (Q2674493) (← links)
- Semiparametric probit models with univariate and bivariate current-status data (Q3119805) (← links)
- Semiparametric regression analysis of multivariate doubly censored data (Q3386478) (← links)
- Sieve maximum likelihood regression analysis of dependent current status data (Q3455821) (← links)
- Bivariate current status data with univariate monitoring times (Q3545407) (← links)
- A spline-based nonparametric analysis for interval-censored bivariate survival data (Q5089458) (← links)
- Regression Analysis of Multivariate Current Status Data with Semiparametric Transformation Frailty Models (Q5109935) (← links)
- A vine copula approach for regression analysis of bivariate current status data with informative censoring (Q5221304) (← links)
- Regression Analysis of Bivariate Current Status Data Using a Multistate Model (Q5415861) (← links)
- New methods for the additive hazards model with the informatively interval‐censored failure time data (Q6064196) (← links)
- A new approach for regression analysis of multivariate current status data with informative censoring (Q6084120) (← links)
- Overview of recent advances on the analysis of interval-censored failure time data (Q6547600) (← links)
- Copula models and diagnostics for multivariate interval-censored data (Q6547606) (← links)
- The \texttt{BivarIntCensored}: an R package for nonparametric inference of bivariate interval-censored data (Q6547610) (← links)
- Goodness-of-fit test for semiparametric copula models with bivariate interval-censored data (Q6548791) (← links)
- Variable selection in proportional odds model with informatively interval-censored data (Q6579430) (← links)
- A new frailty-based GEE approach of the informatively case <i>K</i> interval-censored failure time data (Q6588679) (← links)
- Semiparametric regression analysis of case-cohort studies with multiple interval-censored disease outcomes (Q6628091) (← links)