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Statistics in Medicine|August 9, 2019
Maximum likelihood estimation with missing outcomes: From simplicity to complexityStuart G BakerBiostatistics (Oxford, England)|June 24, 2005
A simple meta-analytic approach for using a binary surrogate endpoint to predict the effect of intervention on true endpointStuart G BakerStatistical Methods in Medical Research|February 21, 2008
Two simple approaches for validating a binary surrogate endpoint using data from multiple trialsStuart G BakerStatistics in Medicine|November 26, 2024
Quantifying Overdiagnosis for Multicancer Detection Tests: A Novel MethodStuart G BakerMedical Decision Making : an International Journal of the Society for Medical Decision Making|November 22, 2023
Evaluating Risk Prediction with Data Collection Costs: Novel Estimation of Test Tradeoff CurvesStuart G BakerStatistics in Medicine|November 23, 2017
Five criteria for using a surrogate endpoint to predict treatment effect based on data from multiple previous trialsStuart G BakerJournal of the National Cancer Institute|December 22, 2014
A cancer theory kerfuffle can lead to new lines of researchStuart G BakerUrologic Oncology|May 19, 2026
Prostate cancer screening: Decision-making when MRI results are inconclusive for cancer (PI-RADS 3)Stuart G BakerPageof 19