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Statistics in Medicine|September 15, 1996
Design considerations for estimation of exposure effects on disease risk, using aggregate data studiesL Sheppard, R L Prentice, M A RossingCancer Causes & Control : CCC|July 1, 1990
Dietary fat and cancer: consistency of the epidemiologic data, and disease prevention that may follow from a practical reduction in fat consumptionR L Prentice, L SheppardBiometrics|September 1, 1995
On the reliability and precision of within- and between- population estimates of relative rate parametersL Sheppard, R L PrenticePreventive Medicine|March 1, 1989
Validity of international, time trend, and migrant studies of dietary factors and disease riskR L Prentice, L SheppardJournal of the National Cancer Institute|August 3, 1988
Aspects of the rationale for the Women's Health TrialR L Prentice, F Kakar, S Hursting, et al.Biostatistics (Oxford, England)|August 23, 2003
Methodologic challenges in chronic disease population researchR L PrenticeBiometrika|October 15, 2016
Higher Dimensional Clayton-Oakes Models for Multivariate Failure Time DataR L PrenticeBiometrika|January 30, 2015
Self-Consistent Nonparametric Maximum Likelihood Estimator of the Bivariate Survivor FunctionR L PrenticePreventive Medicine|January 1, 1991
Epidemiologic data on exogenous hormones and hepatocellular carcinoma and selected other cancersR L PrenticeStatistics in Medicine|January 1, 1990
Opportunities for enhancing efficiency and reducing cost in large scale disease prevention trials: a statistical perspectiveR L PrenticePageof 48