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I. Olkin 15TABLE 1.4Recipients of the R.A. Fisher Lectureship (cont’d).Year Winner and Affiliation (Title of the Talk)1992 Paul Meier, Columbia UniversityThe scope of general estimation1993 Herbert E. Robbins, Columbia UniversityN and n: Sequential choice between two treatments1994 Elizabeth A. Thompson, University of WashingtonLikelihood and linkage: From Fisher to the future1995 Norman E. Breslow, University of WashingtonStatistics in epidemiology: The case-control study1996 Bradley Efron, Stanford UniversityR.A. Fisher in the 21st century1997 Colin L. Mallows, AT&T Bell LaboratoriesThe zeroth problem1998 Arthur P. Dempster, Harvard UniversityLogistic statistics: Modeling and inference1999 John D. Kalbfleisch, University of Waterloo, CanadaThe estimating function bootstrap2000 Ingram Olkin, Stanford UniversityR.A. Fisher and the combining of evidence2001 James O. Berger, Duke UniversityCould Fisher, Jeffreys, and Neyman have agreed on testing?2002 Raymond J. Carroll, Texas A&M UniversityVariability is not always a nuisance parameter2003 Adrian F.M. Smith, University of London, UKOn rereading L.J. Savage rereading R.A. Fisher2004 Donald B. Rubin, Harvard UniversityCausal inference using potential outcomes:Design, modeling, decisions2005 R. Dennis Cook, University of MinnesotaDimension reduction in regression2006 Terence P. Speed, University of California, BerkeleyRecombination and linkage2007 Marvin Zelen, Harvard School of Public HealthThe early detection of disease: Statistical challenges2008 Ross L. Prentice, Fred Hutchinson Cancer Research CenterThe population science research agenda:Multivariate failure time data analysis methods2009 Noel Cressie, The Ohio State UniversityWhere, when, and then why2010 Bruce G. Lindsay, Pennsylvania State UniversityLikelihood: Efficiency and deficiency2011 C.F. Jeff Wu, Georgia Institute of TechnologyPost-Fisherian experimentation: From physical to virtual2012 Roderick J. Little, University of MichiganIn praise of simplicity not mathematistry!Simple, powerful ideas for the statistical scientist2013 Peter J. Bickel, University of California, BerkeleyFrom Fisher to “Big Data”: Continuities and discontinuities