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Journal 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 KramerBMC Medical Research Methodology|May 8, 2003
A simple method for analyzing data from a randomized trial with a missing binary outcomeStuart G Baker, Laurence S FreedmanProgress in Biophysics and Molecular Biology|March 23, 2011
Systems biology and cancer: promises and perilsStuart G Baker, Barnett S KramerBMC Cancer|August 9, 2007
Paradoxes in carcinogenesis: new opportunities for research directionsStuart G Baker, Barnett S KramerStatistical Methods in Medical Research|September 24, 2005
Simple maximum likelihood estimates of efficacy in randomized trials and before-and-after studies, with implications for meta-analysisStuart G Baker, Barnett S KramerJournal of the National Cancer Institute|November 4, 2010
Designing a randomized clinical trial to evaluate personalized medicine: a new approach based on risk predictionStuart G Baker, Daniel J SargentStatistics in Medicine|September 5, 2002
Evaluating serial observations of precancerous lesions for further study as a trigger for early interventionStuart G Baker, Melvyn S TockmanBMC Medical Research Methodology|September 10, 2003
A perfect correlate does not a surrogate makeStuart G Baker, Barnett S KramerPageof 19