Generalized accelerated failure time model with censored data from case-cohort studies
DOI10.1016/J.JSPI.2022.10.001zbMath1502.62102OpenAlexW4306778468MaRDI QIDQ2112256
Publication date: 9 January 2023
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2022.10.001
survival datacase-cohort designgeneralized accelerated failure time modelweighted objective function
Computational methods for problems pertaining to statistics (62-08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)
Cites Work
- Unnamed Item
- Unnamed Item
- Fast accelerated failure time modeling for case-cohort data
- Partial rank estimation of duration models with general forms of censoring
- Quantile regression analysis of case-cohort data
- Additive-multiplicative hazards model for case-cohort studies with multiple disease outcomes
- U-processes: Rates of convergence
- Semiparametric and nonparametric methods in econometrics
- Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
- Asymptotic distribution theory and efficiency results for case-cohort studies
- Rank estimators for monotonic index models
- Maximal inequalities for degenerate \(U\)-processes with applications to optimization estimators
- Exposure stratified case-cohort designs
- Rank estimation of a location parameter in the binary choice model
- Proportional mean residual life model with censored survival data under case-cohort design
- Semiparametric transformation models with length-biased and right-censored data under the case-cohort design
- Generalized mean residual life models for case-cohort and nested case-control studies
- Case-cohort analysis with semiparametric transformation models
- Smoothed rank correlation of the linear transformation regression model
- Additive hazards regression under generalized case-cohort sampling
- Fitting semiparametric transformation regression models to data from a modified case-cohort design
- Generalized Case–cohort Sampling
- A simple resampling method by perturbing the minimand
- Censored linear regression for case-cohort studies
- Composite Estimating Equation Method for the Accelerated Failure Time Model with Length-biased Sampling Data
- Proportional Hazards Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies
- Additive Hazards Model for Competing Risks Analysis of the Case-Cohort Design
- Weighted estimating equations for semiparametric transformation models with censored data from a case-cohort design
- Simulation and the Asymptotics of Optimization Estimators
- The Non-Parametric Identification of Generalized Accelerated Failure-Time Models
- A semiparametric approach for the nonparametric transformation survival model with multiple covariates
- Semiparametric Box–Cox power transformation models for censored survival observations
- Case–Cohort Analysis with Accelerated Failure Time Model
- Marginal hazards model for case-cohort studies with multiple disease outcomes
- A case-cohort design for epidemiologic cohort studies and disease prevention trials
- A Smoothed Maximum Score Estimator for the Binary Response Model
- Cox Regression with Incomplete Covariate Measurements
- Weighted Semiparametric Likelihood Method for Fitting a Proportional Odds Regression Model to Data From the Case-Cohort Design
- Smoothed Rank Regression for the Accelerated Failure Time Competing Risks Model with Missing Cause of Failure
- Efficient estimation for case-cohort studies
- Robust Variance Estimation for the Case-Cohort Design
- A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes
- Case-cohort and case-control analysis with Cox's model
- Additive hazards regression for case-cohort studies
- Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies
- Maximum Partial-Rank Correlation Estimation for Left-Truncated and Right-Censored Survival Data
- The Limiting Distribution of the Maximum Rank Correlation Estimator
- Case‐Cohort Designs and Analysis for Clustered Failure Time Data
- Efficient estimation for accelerated failure time model under case‐cohort and nested case‐control sampling
- OUP accepted manuscript
- More efficient estimators for case-cohort studies
- Stratified Case‐Cohort Analysis of General Cohort Sampling Designs
- Rank Estimation of Transformation Models
- Semiparametric transformation models for the case-cohort study
- Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies
This page was built for publication: Generalized accelerated failure time model with censored data from case-cohort studies