Purdue University - Department of Statistics - Myra Samuels Memorial Lecture Skip to main content

Myra Samuels Memorial Lecture

Myra Samuels
Myra Samuels

The Myra Samuels Memorial Lecture is named in memory of Myra L. Samuels, who was associate professor of biostatistics and epidemiology in Purdue's Department of Veterinary Pathobiology and associate director of Statistical Consulting in the Department of Statistics. She received her Ph.D. in statistics from the University of California, Berkeley, under Jerzy Neyman, and taught at Purdue for 24 years. Her research was oriented toward issues in biostatistics and included both conceptual issues in mathematical statistics and collaborations on applications. 

Professor Samuels was a member of the American Statistical Association, the Biometric Society and the Society for Clinical Trials. Her textbook, Statistics for the Life Sciences, first published in 1989, is now in its fifth edition, revised by Jeffrey Witmer and Andrew Schaffner. The textbook is still widely used in statistics courses. 

Myra Samuels Memorial Lecture History

Click on the dates below for abstracts

  • April 8, 2022 - Bhramar Mukherjee, "Using Electronic Health Records for Scientific Research: Promises and Perils"

  • April 30, 2021 - Elizabeth A. Stuart, "Dealing with observed and unobserved effect moderators when estimating population average treatment effects"
  • March 6, 2020 - Haiyan Huang, "GeneFishing: a method to reconstruct context-specific portraits of biological processes and its application to cholesterol metabolism"
  • April 5, 2019 - Xiaole Shirley Liu, "Hidden Cancer Immunology Insights from Tumor RNA-Seq"

  • April 20, 2018 - Dimitris Politis, "Model-free Prediction and Regression: a Transformation-based Approach to Inference"
  • April 28, 2017 - Kathryn Roeder, "Statistical Challenges Modeling Transcriptional Patterns in the Brain"

  • April 29, 2016 - Roger Berger, "Intersection-Union Tests: Theory and Examples"

  • April 10, 2015 - Michael R. Kosorok, "Personalized Dose Discovery using Outcome Weighted Learning"

  • April 7, 2014 - Peter McCullagh, "Survival Models and Health Sequences"

  • April 5, 2013 - Laura P. Sands, "Consequences of insufficient care for disabilities: Insights developed from evaluation of claims data"

  • April 20, 2012 - Marie Davidian, "More Robust Doubly Robust Estimation"

  • April 28, 2011 - Marty Wells, "Modeling Strategies for Bioinformatic Data"

  • April 8, 2010 - Ker-Chau Li, "Exploring complex interactions in genomic data for aiding the translational medicine research"

  • April 2, 2009 - Hongzhe Li, "High Dimensional Statistics in Genomics: Some New Problems and Solutions"

  • April 3, 2008 - Olga Troyanskaya, "From search and data integration to discovering novel biology or integrated analysis of diverse genomic data in yeast and beyond"

  • February 1, 2007 - Xihong Lin, "Statistical Challenges in Analyzing Mass Spectrometry Proteomic Data"

  • April 13, 2006 - Michael S. Waterman, "Whole Genome Optical Mapping"

  • April 21, 2005 - Wen-Hsiung Li, "Evolutionary and Statistical Analyses of Gene Expression Data"

  • April 15, 2004 - Nan Laird, "Family Based Association Tests with Haplotypes"

  • June 20, 2003 - Rob Tibshirani, "Least Angle Regression, Forward Stagewise and the Lasso"

  • March 28, 2002 - John Quackenbush, "Back to the Future: Integrating Expression with Genomic, Genetic, and Metabolic Data"

  • April 12, 2001 - Charles E. McCulloch, "(Re)Modeling Biometrics"

  • April 13, 2000 - Bradley Efron, "Bootstrap Biostat"

  • April 16, 1999 - Raymond J. Carroll, "The Statistical Problem of Relating Nutrient Intake and Disease

  • April 23, 1998 - George Casella, "Random Cows, Random Corn, and Random Effects"

  • April 23, 1997 - Bruce S. Weir, "A Statstician in Court"

  • March 22, 1996 - Nobel Laureate Herbert Hauptman, "A Probabilistic Approach to the Phase Problem of X-Ray Crystallography"

To make a contribution to the Myra Samuels Biostatistics Fund, which funds this lecture series, please visit our Giving page.

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