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Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|March 5, 2009
Control selection options for genome-wide association studies in cohortsSholom Wacholder, Melissa RotunnoJournal of the National Cancer Institute|August 19, 2004
Bias in intervention studies that enroll patients from high-risk clinicsSholom WacholderEpidemiology (Cambridge, Mass.)|December 23, 2004
The impact of a prevention effort on the communitySholom WacholderJournal of the National Cancer Institute. Monographs|June 17, 2003
Chapter 18: Statistical issues in the design and analysis of studies of human papillomavirus and cervical neoplasiaSholom WacholderCancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|April 4, 2013
Precursors in cancer epidemiology: aligning definition and functionSholom WacholderAmerican Journal of Epidemiology|November 22, 2008
Invited commentary: efficient testing of gene-environment interactionNilanjan Chatterjee, Sholom WacholderTrends in Molecular Medicine|June 18, 2002
One gene and one outcome? No wayStephen Chanock, Sholom WacholderCancer Discovery|January 10, 2013
From differences in means between cases and controls to risk stratification: a business plan for biomarker developmentNicolas Wentzensen, Sholom WacholderAmerican Journal of Epidemiology|November 22, 2008
Invited commentary: from genome-wide association studies to gene-environment-wide interaction studies--challenges and opportunitiesMuin J Khoury, Sholom WacholderAmerican Journal of Epidemiology|November 15, 2014
Invited commentary: How big is that interaction (in my community)--and in which direction?Orestis A Panagiotou, Sholom WacholderPageof 25