Department of Biostatistics Bernard G. Greenberg Distinguished Lecture Series Marvin Zelen Professor of Biostatistics Harvard Un

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Department of Biostatistics Bernard G. Greenberg Distinguished Lecture Series Presented by Marvin Zelen Professor of Biostatistics Harvard University The Early Detection of Disease and Stochastic Models – Part I ABSTRACT Early detection of disease presents opportunities for using existing technologies to significantly improve patient benefit. The possibility of diagnosing a disease early, while it is asymptomatic, may result in treating the disease in an earlier stage leading to better prognosis. Many diseases such as cancer, diabetes, tuberculosis, cardiovascular disease, HIV related diseases, etc. may have better prognosis when diagnosed and treated early. However generating scientific evidence to demonstrate benefit of earlier detection has proved to be difficult. Clinical trials have been arduous to carry out, because of the need to have large numbers of subjects, long follow-up periods and dealing with problems of non-compliance. Implementing public health early detection programs are costly and may not be optimal. Many of these difficulties are a result of not understanding the early disease detection process and the disease natural histories. One way to approach these problems is to model the early detection process. This talk will discuss stochastic models for the early detection of disease. Models may be used to help answer questions for which empirical studies or clinical trials may be too costly, not feasible or may not be ethical. The talk will include the role of length biased sampling and biases generated by the lead time. Among the issues which will be discussed are: risk based examination schedules vs. periodical time schedules, estimating maximum benefit for screening programs. Applications of the general theory to breast cancer will consider screening younger and older women, comparison of different recommendations for mammogram screening and estimating exam schedules for high risk women. Place: Blue Cross Blue Shield Auditorium Michael Hooker Research Center Date: Thursday, May 13, 2010 Time: 10:00 – 11:00 AM .

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Hot Topics in Clinical Trials

Hot Topics in Clinical Trials Graybill Conference VII Biopharmaceutical Statistics June 11, 2008 Scott Evans, Lingling Li, LJ Wei, Marvin Zelen Program for Quantitative Sciences in Medicine Department of Biostatistics Harvard University Meta Analysis Introduction What is Meta Analysis LJ Wei z What is meant by the word “Meta-analysis” Harvard University ¾ Meta is Greek for “later in time” ¾ Meta is now used to denote something that goes to a higher level or is more comprehensive. ¾ How is an analysis made more comprehensive? z In empirical research, there are often multiple studies addressing the same research question ¾ A standard analysis attempts to reach a conclusion based on a single study without reference to any other studies. ¾ A meta-analysis attempts to reach a conclusion based on a set of studies that address the same hypothesis. Introduction Introduction History of Meta Analysis Why Meta Analysis z In 1805, Legendre developed least squares to combine data on the orbits z There are several reasons for conducting a meta-analysis of of comets from different observatories. the results of previous studies: z In 1930’s, statisticians working in agricultural research developed methods ¾ The increasingly large # of research studies for combining the results of studies. Most notable are Fisher and ¾ 40,000 journals for the sciences 5000 Cochrane. ¾ 1 article every 30 seconds 4000 z In 1960’s, Cohen popularized the notion of effect size for use in sample 3000 size determination in the social and behavioral sciences 2000 1000 ¾ Effect size measures the differences between null hypothesis and the truth 0 ¾ Effect size + sample size determines the power.
Robert Elston

2007 ASHG AWARD FOR EXCELLENCE IN HUMAN GENETICS EDUCATION Introductory Speech for Robert C. Elston* Joan E. Bailey-Wilson, Ph.D. It is my great honor and pleasure to introduce Dr. Robert C. Elston as the recipient of the 2007 ASHG Award for Excellence in Human Genetics Education. Robert is one of the founding fathers of modern statistical genetics and a teacher and mentor extraordinare. He was born February 4, 1932 in London, England and received his B.A. and M.A. in Natural Sciences with a diploma in Agriculture from Cambridge University in 1956, followed by his PhD. in Animal Breeding from Cornell University in 1959, and postdoctoral training in statistics at University of North Carolina from 1959-1960. Robert joined the faculty of University of North Carolina in 1960, rising to the rank of Professor by 1969. In 1979, Robert moved to New Orleans to become Professor and Head of the Department of Biometry, which he later changed to the Department of Biometry and Genetics. In 1995, he took his current position as Professor of Epidemiology & Biostatistics and the Director, Division of Genetic and Molecular Epidemiology at Case Western Reserve University Robert’s scientific accomplishments are many, with the most well-known being the Elston-Stewart algorithm [Elston RC, Stewart J. A General Model for the Genetic Analysis of Pedigree Data. Hum Hered 21:523-534.] which was a landmark in the field of statistical genetics, providing a unifying computational approach to evaluation of data from families. His achievements have been recognized by many different awards, including the Hoch Award from the American Psychopathological Association in 1992, the Wick R.
9Th EMR-IBS and Italian Region Conference Conference Program

9th EMR‐IBS and Italian Region Conference Conference Program The meeting is devoted to the memory of Professor Marvin Zelen Organized by Eastern Mediterranean Region of the International Biometric Society (IBS) Italian Region of the International Biometric Society (IBS) Sponsors Frontier Science Foundation-Hellas (FSF-H) Athens University of Economics and Business Laboratory of Biostatistics, National and Kapodistrian University of Athens Preface We are very glad to welcome you at Thessaloniki, for the 9th conference of the Eastern Mediterranean Region of the International Biometrics Society (EMR‐IBS) co‐organized with the Italian Region of IBS. The EMR region of the IBS includes the following countries: Cyprus, Egypt, Greece, Israel, Jordan, Palestinian National Authority, Turkey, Saudi Arabia and Bulgaria. This is the last of a very successful series of conferences started in Athens, Greece in 2001; followed by Antalya, Turkey in 2003; Corfu, Greece in 2005; Eilat, Israel in 2007; Istanbul, Turkey in 2009; Crete, Greece in 2011; Tel Aviv, Israel, 2013; and Cappadocia, Turkey 2015. We are particularly happy to co‐organize this conference with the Italian Region. Some years ago the EMR, the Italian Region and the Spanish Region decided to create a closer relationship between our Regions of IBS by exchanging and organizing a common session to each regional IBS conferences. This year we move one step forward by jointly organizing the conference. There will also be as in previous conferences, an Italian‐ Spanish session. The conference is dedicated to the memory of Professor Marvin Zelen, who has shaped the field of Biostatistical Science. Professor Zelen, in his efforts of promoting Biostatistics in the Region, has been a great supporter of EMR, participating actively in all our Regional conferences.
Steve Lagakos

9th EMR-IBS and Italian Region Conference Satellite Symposium 7-8 May 2017 SYMPOSIUM honoring Professor MARVIN ZELEN Scientific Program Book of Abstracts The MET Hotel Thessaloniki, Greece Symposium Honoring Professor Marvin Zelen 7-8 May 2017 The MET Hotel Thessaloniki, Greece Dear participants, On behalf of the organizing committee, I would like to welcome you to the two-day Symposium in honor of Professor Marvin Zelen. Marvin was a pioneer in the field of Biostatistics, Professor and exceptional member of the Harvard School of Public Health community, founder of FSTRF, but above all a mentor for scientists working in medical statistics and research. His impact will be lasting not only through his seminal original scientific contributions but also through his mentoring of some of the most influential and original biostatisticians of today, who follow his example in producing work with great impact on society and public health. All of us who had the privilege of knowing Marvin will always work to further his legacy. This Symposium will celebrate his memory and unique contributions in science. The current event is organized by Frontier Science Foundation-Hellas and co-sponsored by all Frontier offices. The Symposium is a satellite event of the 9th EMR-IBS and Italian Region Conference, which is also dedicated to Professor Zelen’s legacy. Thank you for joining us in honoring Marvin by celebrating Biostatistical Science. Urania Dafni Symposium Honoring Professor Marvin Zelen Professor Marvin Zelen 1927-2014 Marvin Zelen was known as a giant in the field of biostatistics, as well as a man of vision, generosity, and warmth who served as a mentor to two generations of researchers.
The Rising of Academic Statistics Departments in the US

Strength in Numbers: The Rising of Academic Statistics Departments in the U.S. Alan Agresti • Xiao-Li Meng Editors Strength in Numbers: The Rising of Academic Statistics Departments in the U.S. 123 Editors Alan Agresti Xiao-Li Meng Department of Statistics Department of Statistics University of Florida Harvard University Gainesville, FL Cambridge, MA USA USA ISBN 978-1-4614-3648-5 ISBN 978-1-4614-3649-2 (eBook) DOI 10.1007/978-1-4614-3649-2 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2012942702 Ó Springer Science+Business Media New York 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law.
The Bio in Biostatistics

The Bio in Biostatistics James A. Hanley Dept. of Epidemiology, Biostatistics & Occupational Health Faculty of Medicine, McGill University SSC Impact Award Address Annual Meeting of Statistical Society of Canada Montréal, Québec 2018-06-05 Things They Don’t Teach You in Graduate School1 James A Hanley McGill University Abstract Much of what statisticians teach and use in practice is learnt ‘on the job.’ I recount here some of my early statistical experiences, and the lessons we might learn from them. They are aimed at those of you starting out in the profession today, and at the teachers who train you. I stress the importance of communication. Key Words communication; communication; communication. James A. Hanley ( http://www.biostat.mcgill.ca/hanley )isProfessor, Department of Epidemiology, Biostatistics and Occupational Health, Mon- treal, Quebec, H3A 1A2, Canada. (email: [email protected]). This work was partially supported by the Natural Sciences and Engineering Re- search Council of Canada, and Le Fonds Qu´eb´ecois de la recherche sur la nature et les technologies. The author thanks Marvin Zelen for helpful com- ments. 1An expansion on some after-dinner remarks made at the Conference of Applied Statisticians of Ireland, held in Killarney, May 17-19, 2006. The article is dedicated to two former colleagues – and superb communicators – Fred Mosteller and Steve Lagakos, who are no longer with us. 2012.07.19 JOURNAL OF MATHEMATICAL PSYCHOLOGY: 6, 487-496 (1969) Maximum-Likelihood Estimation of Parameters of Signal-Detection Theory and Determination of Confidence Intervals-Rating-Method Data1 DONALD D. DORFMAN~ San Diego State College, San Diego, California 92115 AND EDWARD ALF, JR.
Learning from Electronic Data to Advance Health and Health Care

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Cytel Software Development

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Leadership Interview Tamar Sofer (Previously Tamar Tsivion)

HPM542, Leadership interview Tamar Sofer (previously Tamar Tsivion). The interviewee is Professor Stephen (Steve) Lagakos, the director of the Center of Biostatistics for AIDS Research (CBAR), a former chair of the Biostatistics department and my lecturer in the course “clinical trials”. At the beginning, he asked “I don't have to agree I'm a leader, do I?”. Throughout the interview he is very modest and very rarely say that he specifically has done things unless I pressure him to that. For example, I did not notice the size and the importance of the CBAR until I came home and listened to the recorded interview. Part of it because he used words like “we” mostly and barely “I”. When Lagakos entered Biostatistics in the 70th the field began to change. Prior to that Statistics departments did theoretical work and Biostatistics departments did an applied work. The change emerged when money started pouring out to cancer research. Number of key researcher started to change the texture of Biostatistics departments- for example Marvin Zelen, a senior faculty in the Harvard Biostatistics department. He (Zelen) arrived in 1977 and started a research Biostatistics department at the Dana-Farber Cancer Institute and convinced about 10 researchers to follow him from his previous position in New York. That is how Prof. Lagakos arrived to the Biostatistics department in HSPH. Lagakos was inspired by Professor Zelen and he (Lagakos) considers him to be a true leader. A few more examples of Zelen appear during the interview. Lagakos says he thinks what makes Zelen a leader is his vision, and his determination to do things that he believes at.
Peter Bickel Honored by ETH Peter Bickel Received a Doctor Honoris Causa from ETH Zurich on November 22, 2014

Volume 44 • Issue 1 IMS Bulletin January/February 2015 Peter Bickel honored by ETH Peter Bickel received a Doctor honoris causa from ETH Zurich on November 22, 2014. CONTENTS The translation (from German) of the laudatio reads “…for fundamental contributions 1 Peter Bickel honored in semiparametric, robust and high-dimensional statistics, and for seminal influence in mathematical statistics and its applications.” (The full text, in German, is athttps://www. 2 Members’ News: Steven F. Arnold, Eugene Dynkin, ethz.ch/content/dam/ethz/main/news/eth-tag/Dokumente/2014/eth-tag-2014-laudatio- Moshe Shaked, Henry bickel.pdf) Teicher, Marvin Zelen Peter Bickel is Professor of Statistics at the University of California, Berkeley. He has served as President of IMS and the Bernoulli Society, and gave the Wald Lectures in 3 Awards; Presidential address video 1980 and the Rietz lecture in 2004. He has been a Guggenheim (1970) and MacArthur (1984) Fellow, was the first COPSS Presidents’ Award winner, and he gave the COPSS 4 Meeting reports: Fisher Lecture in 2013. He was awarded an honorary Doctorate degree from the Hebrew Bangladesh Academy of University, Jerusalem, in 1986, and the CR and Bhargavi Rao Prize in 2009. Peter is Sciences; NISS Workshop a member of the American Academy of Arts and Sciences, the US National Academy 5 XL-Files: Pray with me, of Sciences and the Royal Netherlands Academy of Arts and Sciences. In 2006, he was statistically appointed to the knightly grade of Commander in the Order of Oranje-Nassau by Her 6 Hadley Wickham: Impact Majesty Queen Beatrix of The Netherlands, for his extraordinary services and professional the world by being useful contributions.
Cancer Intervention and Surveillance Modeling Network (CISNET)

Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Work Group Presented by: Jeanne Mandelblatt, MD, MPH Georgetown University CISNET Breast Cancer Collaborators Grantees: Dana Farber Cancer Institute: Sandra Lee, Marvin Zelen, H. Huang, Rebecca Gelman Erasmus University: Harry de Koning, Nicolien van Ravesteyn, Gerrit Draisma Georgetown University: Jeanne Mandelblatt, Clyde Schechter, Michael Stoto (MD Anderson Cancer Center: Donald Berry, Mark Munsell, John Venier) Stanford University: Sylvia Plevritis, Bronislava Signal, Stephanie Bailey (University of Rochester: Andrei Yakovlev) (University of Wisconsin: Dennis Fryback, Marjorie Rosenberg, Natasha Stout) Affiliates: University of Wisconsin : Oguzhan Alagoz, Amy Trentham-Dietz Harvard University: Natasha Stout Public Health Agency of Canada and Statistics Canada: Leslie Gaudette National Cancer Institute: Eric Feuer, Kathleen Cronin, Angela Mariotto Cornerstone Systems Northwest: Lauren Clarke Objectives Summarize scientific accomplishments Highlight collaborative research results Major Scientific Accomplishments Publication of JNCI Monograph 2006 Publication of 70 manuscripts Evaluation of US mortality trends Evaluation of screening policies Describe trends in incidence by use of HRT Examine costs and benefits of different screening starting and stopping ages (by health and race group) Screening BRCA mutation carriers with MRI Methods for estimating over-diagnosis Research and policy collaborations: Health Canada HP 2010 mid course review
Biostatistics at a Research Center at the Interface Between Biomedical and Statistical Science

Biostatistics at a research center at the interface between biomedical and statistical science Edler, Lutz; Kopp-Schneider, Annette; Benner, Axel German Cancer Research Center, Department of Biostatistics, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany Edler, Lutz [email protected] Kopp Schneider, Annette [email protected] Benner, Axel [email protected] Summary Biostatistics has been demanded increasingly in biomedical research since the 1960s for support in experimental design, mathematical and statistical modelling as well as computational statistics. This resulted in the establishment of biostatistical units in universities, research institutes and larger pharmaceutical companies; a development not without disturbances and regularly re-thinking the role of biostatistics and its justification at that places. This paper describes the mission, tasks and duties of a biostatistical unit located at a large research center on cancer, with responsibilities for biostatistical consulting as well as independent biostatistical research. Such a unit’s research mission is the promotion of biostatistical methods in experimental cancer research, the enhancement of quantitative methods and the initiation and conduct of statistical research relevant for the center's mission for cancer research. The unit’s consultation mission is to support the center’s scientists in the design, analysis of their research projects, and to assist in appropriate communication and publication of their results. This paper presents an approach where consulting and expertise is combined with cooperation, on the basis of sound statistical science and original biostatistical research. Key words: Biostatistics, Biometry, Cancer Research, Organizational Structure, Consultation, Collaboration, Computational Statistics, Design, Modelling, Data Analysis, Communication,. 1. Introduction The field of biostatistics has been growing since around the 1960s, when biostatisticians were demanded for the application of mathematical and statistical methods and techniques in biological and biomedical sciences.