Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies
From MaRDI portal
Publication:4975357
DOI10.1080/01621459.2013.842172zbMath1367.62099OpenAlexW1985628372WikidataQ37649573 ScholiaQ37649573MaRDI QIDQ4975357
Publication date: 4 August 2017
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3960088
EM algorithmkernel estimationsemiparametric efficiencycase-cohort designnonparametric likelihoodnested case-control sampling
Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
Related Items
Discussion of the paper by R. L. Prentice and Y. Huang: Optimal designs and efficient inference for biomarker studies, Z-estimation and stratified samples: application to survival models, Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort design, Statistical inference for the accelerated failure time model under two-stage generalized case–cohort design, Regression analysis for the proportional hazards model with parameter constraints under case-cohort design, Efficient fused learning for distributed imbalanced data, Statistical inference for generalized case-cohort design under the proportional hazards model with parameter constraints, Generalized case-cohort analysis for constrained estimation in the Cox’s model, Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data, Estimation and variable selection for semiparametric transformation models under a more efficient cohort sampling design, Efficient estimation for accelerated failure time model under case‐cohort and nested case‐control sampling, Weight calibration to improve the efficiency of pure risk estimates from case‐control samples nested in a cohort, Improving Efficiency of Parameter Estimation in Case-Cohort Studies with Multivariate Failure Time Data, Empirical and conditional likelihoods for two‐phase studies, Joint Semiparametric Models for Case-Cohort Designs, A quadratic upper bound algorithm for regression analysis of credit risk under the proportional hazards model with case-cohort data, Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates, Optimal Designs of Two-Phase Studies, A Class of Weighted Estimating Equations for Semiparametric Transformation Models with Missing Covariates, Nonparametric inference for distribution functions with stratified samples, Outcome-dependent sampling with interval-censored failure time data, Semiparametric estimation for the non-mixture cure model in case-cohort and nested case-control studies, Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs, Conditional screening for ultrahigh-dimensional survival data in case-cohort studies, Robust inference for the proportional hazards model with two-phase cohort sampling data, Statistical inference for Cox model under case-cohort design with subgroup survival information, Generalized case-cohort and inference for Cox’s model with parameter constraints, Generalized accelerated failure time model with censored data from case-cohort studies
Cites Work
- Unnamed Item
- Asymptotic distribution theory and efficiency results for case-cohort studies
- Consistency in a proportional hazards model incorporating a random effect
- Exposure stratified case-cohort designs
- Generalized Case–cohort Sampling
- Censored linear regression for case-cohort studies
- Evaluating prognostic accuracy of biomarkers in nested case-control studies
- Proportional Hazards Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies
- An Extension of Cox's Regression Model
- Nonparametric Evaluation of Biomarker Accuracy Under Nested Case-Control Studies
- Weighted estimating equations for semiparametric transformation models with censored data from a case-cohort design
- Pseudo-partial likelihood estimators for the Cox regression model with missing covariates
- Efficient semiparametric estimation of haplotype-disease associations in case-cohort and nested case-control studies
- 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
- Partial likelihood
- Semiparametric analysis of transformation models with censored data
- Efficient estimation for case-cohort studies
- Maximum Likelihood Estimation for Cox's Regression Model Under Case-Cohort Sampling
- Counter-matching: A stratified nested case-control sampling method
- Robust Variance Estimation for the Case-Cohort Design
- Case-cohort and case-control analysis with Cox's model
- Additive hazards regression for case-cohort studies
- Cox Regression with Incomplete Covariate Measurements using the EM‐algorithm
- Case‐Cohort Designs and Analysis for Clustered Failure Time Data
- Semiparametric transformation models for the case-cohort study
- Maximum likelihood estimation for Cox's regression model under nested case-control sampling
- Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies
- Weighted Estimators for Proportional Hazards Regression With Missing Covariates