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BMC 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 SargentCancers|May 14, 2025
The Role of the Extracellular Matrix in Cancer PreventionStuart G Baker, Edward R SauterStatistics 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 KramerBMC Bioinformatics|September 9, 2006
Identifying genes that contribute most to good classification in microarraysStuart G Baker, Barnett S KramerClinical Trials (London, England)|November 12, 2014
Evaluating surrogate endpoints, prognostic markers, and predictive markers: Some simple themesStuart G Baker, Barnett S KramerPageof 26