Pages that link to "Item:Q151565"
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The following pages link to Semiparametric inference for an accelerated failure time model with dependent truncation (Q151565):
Displaying 18 items.
- depend.truncation (Q23050) (← links)
- Parametric likelihood inference and goodness-of-fit for dependently left-truncated data, a copula-based approach (Q151564) (← links)
- Multivariate normal distribution approaches for dependently truncated data (Q434391) (← links)
- Semiparametric inference for the accelerated life model with time- dependent covariates (Q1347134) (← links)
- Permutation tests for general dependent truncation (Q1796961) (← links)
- Missing information principle: a unified approach for general truncated and censored survival data problems (Q1799350) (← links)
- Weighted rank estimation for nonparametric transformation models with doubly truncated data (Q2131968) (← links)
- Local linear smoothing to estimate accelerated lifetime model with censoring and truncation (Q2282340) (← links)
- Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data (Q2291298) (← links)
- Copula-based inference for bivariate survival data with left truncation and dependent censoring (Q2682970) (← links)
- Prediction accuracy measures for time-to-event models with left-truncated and right-censored data (Q3389680) (← links)
- A class of semi parametric regressions for the accelerated failure time model (Q4364843) (← links)
- Semiparametric estimation method for accelerated failure time model with dependent censoring (Q4607350) (← links)
- A semiparametric regression model under biased sampling and random censoring: A local pseudo‐likelihood approach (Q5094242) (← links)
- Inference for probability of selection with dependently truncated data using a Cox model (Q5267888) (← links)
- Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation (Q6055683) (← links)
- Cox regression model under dependent truncation (Q6079460) (← links)
- The Pareto type I joint frailty-copula model for clustered bivariate survival data (Q6562748) (← links)