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BMC Medical Research Methodology|November 14, 2002
The transitive fallacy for randomized trials: if A bests B and B bests C in separate trials, is A better than C?Stuart G Baker, Barnett S KramerBMC Medical Research Methodology|June 18, 2003
Randomized trials, generalizability, and meta-analysis: graphical insights for binary outcomesStuart G Baker, Barnett S KramerJournal of the National Cancer Institute|December 25, 2012
Surrogate endpoint analysis: an exercise in extrapolationStuart G Baker, Barnett S KramerJournal of Medical Screening|April 18, 2008
Estimating the cumulative risk of a false-positive under a regimen involving various types of cancer screening testsStuart G Baker, Barnett S KramerSeminars in Cancer Biology|May 6, 2008
Using microarrays to study the microenvironment in tumor biology: the crucial role of statisticsStuart G Baker, Barnett S KramerDiscovery Medicine|October 2, 2012
Evaluating a new marker for risk prediction: decision analysis to the rescueStuart G Baker, Barnett S KramerJournal of Medical Screening|December 8, 2025
The efficient stored specimen design for evaluating multiple screening technologies: Application to multicancer detection testsStuart G Baker, Hormuzd A KatkiJournal of the Royal Statistical Society. Series A, (Statistics in Society)|April 9, 2013
The risky reliance on small surrogate endpoint studies when planning a large prevention trialStuart G Baker, Barnett S KramerJournal of Medical Screening|August 26, 2020
Breast cancer overdiagnosis in stop-screen trials: More uncertainty than previously reportedStuart G Baker, Philip C ProrokStatistical Methods in Medical Research|October 11, 2007
Randomized trials for the real world: making as few and as reasonable assumptions as possibleStuart G Baker, Barnett S KramerPageof 26