Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates
From MaRDI portal
Publication:1698940
DOI10.1007/s10985-016-9386-8zbMath1468.62390OpenAlexW2559407777WikidataQ39143809 ScholiaQ39143809MaRDI QIDQ1698940
Publication date: 16 February 2018
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-016-9386-8
missing datacohort sampling designsgeneralized linear transformation modelsgenetic association tests
Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05) Missing data (62D10)
Related Items
Discussion of the paper by R. L. Prentice and Y. Huang: Optimal designs and efficient inference for biomarker studies ⋮ Score Tests With Incomplete Covariates and High-Dimensional Auxiliary Variables ⋮ Regularized regression for two phase failure time studies ⋮ Special issue dedicated to Jack Kalbfleisch ⋮ Optimal Designs of Two-Phase Studies ⋮ Robust Score Tests With Missing Data in Genomics Studies
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Comparison of estimators in nested case-control studies with multiple outcomes
- Recent progresses in outcome-dependent sampling with failure time data
- On maximum likelihood estimation in parametric regression with missing covariates
- Retrospective likelihood-based methods for analyzing case-cohort genetic association studies
- An EM algorithm for regression analysis with incomplete covariate information
- Score tests for association under response-dependent sampling designs for expensive covariates
- A case-cohort design for epidemiologic cohort studies and disease prevention trials
- Inference and missing data
- Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
- A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling
- Proportional Hazards Regression with Missing Covariates
- On Profile Likelihood
- Efficient estimation for case-cohort studies
- Maximum Likelihood Estimation for Cox's Regression Model Under Case-Cohort Sampling
- Cox Regression with Incomplete Covariate Measurements using the EM‐algorithm
- Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies
- Likelihood Methods for Regression Models with Expensive Variables Missing by Design
- Semiparametric Transformation Models With Random Effects for Recurrent Events
- Stratified Case‐Cohort Analysis of General Cohort Sampling Designs
- Maximum likelihood estimation for Cox's regression model under nested case-control sampling
- Missing-Data Methods for Generalized Linear Models
