An Estimated Likelihood Method for Continuous Outcome Regression Models With Outcome-Dependent Sampling
From MaRDI portal
Publication:5754828
DOI10.1198/016214504000001853zbMath1117.62443OpenAlexW2045963699MaRDI QIDQ5754828
Publication date: 20 August 2007
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/016214504000001853
Related Items (33)
Accelerated failure time model for data from outcome-dependent sampling ⋮ Outcome-Dependent Sampling from Existing Cohorts with Longitudinal Binary Response Data: Study Planning and Analysis ⋮ A Semiparametric Empirical Likelihood Method for Biased Sampling Schemes with Auxiliary Covariates ⋮ Outcome-dependent sampling design and inference for Cox's proportional hazards model ⋮ Time-dependent classification accuracy curve under marker-dependent sampling ⋮ Recent progresses in outcome-dependent sampling with failure time data ⋮ Hypothesis testing in outcome-dependent sampling design under generalized linear models ⋮ Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data ⋮ Adjusted regularized estimation in the accelerated failure time model with high dimensional covariates ⋮ Statistical inference for the additive hazards model under outcome-dependent sampling ⋮ Generalized case‐control sampling under generalized linear models ⋮ Maximum likelihood estimation for outcome‐dependent samples ⋮ Statistical inference for case-cohort design under the additive hazards model with covariate adjustment ⋮ Goodness-of-fit tests for general linear models with covariates missed at random ⋮ Improving estimation efficiency for two-phase, outcome-dependent sampling studies ⋮ Statistical inference methods and applications of outcome-dependent sampling designs under generalized linear models ⋮ A semiparametric pseudo-score method for analysis of two-phase studies with continuous phase-I covariates ⋮ Regression analysis for outcome-dependent sampling design under the covariate-adjusted additive hazards model ⋮ Optimal Designs of Two-Phase Studies ⋮ Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome ⋮ Design and Inference for Cancer Biomarker Study with an Outcome and Auxiliary-Dependent Subsampling ⋮ On estimation of conditional density models with two-phase sampling ⋮ Maximum Likelihood Inference On A Mixed Conditionally and Marginally Specified Regression Model for Genetic Epidemiologic Studies with Two-Phase Sampling ⋮ Outcome-dependent sampling with interval-censored failure time data ⋮ On differentiability of implicitly defined function in semi-parametric profile likelihood estimation ⋮ Optimal generalized case-cohort analysis with Cox's proportional hazards model ⋮ A Partial Linear Model in the Outcome-Dependent Sampling Setting to Evaluate the Effect of Prenatal PCB Exposure on Cognitive Function in Children ⋮ Semiparametric Estimation Exploiting Covariate Independence in Two‐Phase Randomized Trials ⋮ Biased sampling designs to improve research efficiency: factors influencing pulmonary function over time in children with asthma ⋮ Optimal generalized case–cohort sampling design under the additive hazard model ⋮ A Partially Linear Regression Model for Data from an Outcome-Dependent Sampling Design ⋮ Outcome Vector Dependent Sampling with Longitudinal Continuous Response Data: Stratified Sampling Based on Summary Statistics ⋮ Regression analysis for a summed missing data problem under an outcome-dependent sampling scheme
This page was built for publication: An Estimated Likelihood Method for Continuous Outcome Regression Models With Outcome-Dependent Sampling