Response‐dependent two‐phase sampling designs for biomarker studies

DOI10.1002/cjs.11207zbMath1349.62553OpenAlexW1958430315MaRDI QIDQ5166415

Michael A. McIsaac, Richard J. Cook

Publication date: 26 June 2014

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10012/10232

zbMATH Keywords

maximum likelihood estimationasymptotic relative efficiencyinverse probability weightingtwo-phase designaugmented inverse probability weighted estimating functionsresponse-dependent sampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05)

Cites Work

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• Doubly Robust Estimation in Missing Data and Causal Inference Models
• Auxiliary outcome data and the mean score method
• Designing a logistic regression study using surrogate measures for exposure and outcome
• Logistic regression for two-stage case-control data
• Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Fitting regression models to case-control data by maximum likelihood
• A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling
• Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
• A mean score method for missing and auxiliary covariate data in regression models
• Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data
• Discussions
• Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies

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