Pages that link to "Item:Q1658419"
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The following pages link to Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments (Q1658419):
Displaying 26 items.
- The analysis of tumorigenicity data using a frailty effect (Q634850) (← links)
- An additive hazards cure model with informative interval censoring (Q825223) (← links)
- Regression analysis of current status data in the presence of a cured subgroup and dependent censoring (Q1641906) (← links)
- Regression analysis of doubly censored data with a cured subgroup under a class of promotion time cure models (Q2042267) (← links)
- A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates (Q2163804) (← 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)
- Enterprise inefficient investment behavior analysis based on regression analysis (Q2321659) (← links)
- Sharp minimax distribution estimation for current status censoring with or without missing (Q2656609) (← links)
- Semiparametric transformation models for current status data with informative censoring (Q2919464) (← links)
- Semiparametric regression analysis of multivariate doubly censored data (Q3386478) (← links)
- Sieve maximum likelihood regression analysis of dependent current status data (Q3455821) (← links)
- Semiparametric regression analysis of two-sample current status data, with applications to tumorigenicity experiments (Q3512635) (← links)
- Nonparametric tests for stratified additive hazards model based on current status data (Q5037008) (← 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)
- 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)
- Overview of recent advances on the analysis of interval-censored failure time data (Q6547600) (← links)
- Variable selection for misclassified current status data under the proportional hazards model (Q6558519) (← links)
- A new frailty-based GEE approach of the informatively case <i>K</i> interval-censored failure time data (Q6588679) (← links)
- A conditional approach for regression analysis of case \(K\) interval-censored failure time data with informative censoring (Q6626712) (← links)
- A simulation-extrapolation approach for regression analysis of misclassified current status data with the additive hazards model (Q6628172) (← links)