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Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×

A

Registered
Workshop Participants

Altman, Micah – Massachusetts Institute of Technology

Amarreh, Ishmael – National Institutes of Health

Andrews, Howard – Columbia University Mailman School of Public Health

Anestidou, Lida – National Academies of Sciences, Engineering, and Medicine

Arora, Vipin – U.S. Energy Information Administration

Arrieta, Dan – Chevron Phillips Chemical Company LP

Arrison, Tom – National Academies of Sciences, Engineering, and Medicine

Auh, Sungyoung – National Institutes of Health

Baggerly, Keith – MD Anderson Cancer Center

Barberia, Lorena – University of São Paulo, Brazil

Baru, Chaitan – National Science Foundation

Bastian, Hilda – National Institutes of Health

Beaton, Maura – National Health Service

Beck, Nancy – American Chemistry Council

Becker, Chandler – National Institute of Standards and Technology

Benjamini, Yoav – Tel Aviv University, Israel

Berman, Lew – ICF International

Bhat, Talapady – National Institute of Standards and Technology

Boehm, Frederick – University of Wisconsin, Madison

Bogoslovsky, Tanya – Uniformed Services University of the Health Sciences

Boisvert, Ronald – National Institute of Standards and Technology

Boos, Dennis – North Carolina State University

Bourne, Philip – National Institutes of Health

Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×

Brooks, Frank – Mallinckrodt Institute of Radiology

Buck, Stuart – Laura and John Arnold Foundation

Buja, Andreas – Wharton School of the University of Pennsylvania

Campbell, Greg – U.S. Food and Drug Administration

Carney, Joanne – American Association for the Advancement of Science

Casano, Patricia Kablach – General Electric Company

Ceneviva, Ricardo – Rio de Janeiro State University, Brazil

Chen, Jinbo – University of Pennsylvania

Chen, Nanyu – LinkedIn Corporation

Chen, Quan – National Institutes of Health

Chiuzan, Cody – Columbia University

Christensen, Garret – Berkeley Initiative for Transparency in the Social Sciences

Clark, Jennifer – U.S. Food and Drug Administration

Cockerill, Matthew – Riffyn, Inc.

Cohen, Michael – National Academies of Sciences, Engineering, and Medicine

Cohen, Michael P. – American Institutes for Research

Costello, Donald – University of Nebraska

Cragin, Melissa – National Science Foundation

Creel, Darryl – RTI International

Davidson, Sara – Korea Transport Institute

Dobbins, Janet – The Institute for Statistics Education at Statistics.com

Doll, Nancy – Precise Clinical Data Collection

Duan, Fenghai – Brown University

Duan, Weitao – LinkedIn Corporation

DuBreuil, Dan – Brown University

Dunn, Michelle – National Institutes of Health

Eisenberg, Jon – National Academies of Sciences, Engineering, and Medicine

Elliott, John – National Institute of Standards and Technology

Errington, Tim – Center for Open Science

Esarey, Justin – Rice University

Facelli, Julio – University of Utah

Fienberg, Steve – Carnegie Mellon University

Fitzmaurice, J. Michael – Agency for Healthcare Research and Quality

Florance, Valerie – National Library of Medicine

Forde, Kimberly – University of Pennsylvania

French, Benjamin – University of Pennsylvania

Fritts, Martin – Leidos Biomedical Research

Gage, Joseph – University of Wisconsin, Madison

Gardner, Timothy – Riffyn, Inc.

Gatsonis, Constantine – Brown University

Ge, Ping – U.S. Department of Energy

Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×

Goldberg, Judith – New York University School of Medicine

Goodman, Steve – Stanford University

Gordon, Ruthanna – AVIAN Engineering

Guthrie, William – National Institute of Standards and Technology

Hardin, Johanna – Pomona College

Harnly, James – U.S. Department of Agriculture

Harris, Richard – National Public Radio

Ho, Jeff – Stanford University

Holmes, John – University of Pennsylvania Perelman School of Medicine

Huo, Xiaoming – National Science Foundation

Inupakutika, Devasena – University of Southampton

Ioannidis, John – Stanford University

Irizarry, Rafael – Harvard University

Jalalpour, Mehdi – Cleveland State University

Jasny, Barbara – Science/AAAS

Jeanotte, Alexis – AVIAN, LLC

Jia, Haomiao – Columbia University

Johnson, Valen – Texas A&M University

Kapatou, Alexandra – American University

Karr, Alan – RTI International

Kass, Robert – Carnegie Mellon University

Kaufhold, John – Deep Learning Analytics

Kelly, Anthony – National Science Foundation

Khadka, Alla – University of Pittsburgh

Korolev, Vladimir – University of Maryland, Baltimore County

Kovacevic, Jelena – Carnegie Mellon University

Kozlovski, Tal – Tel Aviv University, Israel

LaLonde, Donna – American Statistical Association

Lazebnik, Yuri – Cancer Biology Consultant

Lee, Meredith – Homeland Security Advanced Research Projects Agency

Leek, Jeff – Johns Hopkins University

LeVeque, Randy – University of Washington

Levermore, David – University of Maryland

Li, Jingyi Jessica – University of California, Los Angeles

Li, Qianqiu – Jansen Research and Development

Li, Qunhua – Pennsylvania State University

Li, Shanshan – National Institutes of Health

Liao, K. George – Wildfire Analytics and Research

Liberman, Mark – University of Pennsylvania

Lin, Xihong – Harvard University

Locascio, Laurie – National Institute of Standards and Technology

Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×

Lomax, Joelle – Science Exchange

Lu, John – National Institute of Standards and Technology

Lucas, Philip – National Institutes of Health

Lystig, Theodore – Medtronic

Macleod, Malcolm – University of Edinburgh, Scotland

Manrai, Arjun – Harvard Medical School

Marcus, Stephen – National Institutes of Health

Markatou, Marianthi – State University of New York at Buffalo

McGuire, Susan – National Institutes of Health

McLaughlin, Gerald – National Institutes of Health

McNutt, Marcia – Science magazine

Meacham, Steve – National Science Foundation

Meiring, Wendy – University of California, Santa Barbara

Messinger-Cayetano, Shari – University of Miami

Mitelpunkt, Alexis – Tel Aviv University, Israel

Mouakkad, Sally – Research Councils UK

Mukhopadhyay, Rajendrani – American Society for Biochemistry and Molecular Biology

Nelson, Stuart – Retired

Novikova, Irina – World Bank

Nuzzo, Regina – Gallaudet University

Olson, Nate – National Institute of Standards and Technology

Olster, Deborah – National Science Foundation

Ord, Keith – Georgetown University

Pai, Vinay – National Institutes of Health

Panagiotou, Orestis – National Institutes of Health

Pantula, Sastry – Oregon State University

Parikh, Hemang – National Institute of Standards and Technology

Park, Young – San Jose State University

Parmigiani, Giovanni – Dana-Farber Cancer Institute

Pavlick, Andrea – AAAS/U.S. Environmental Protection Agency

Pearl, Jennifer – National Science Foundation

Peng, Roger – Johns Hopkins Bloomberg School of Public Health

Percival, Matthew

Perfito, Nicole – Science Exchange

Pierson, Steve – American Statistical Association

Qualters, Irene – National Science Foundation

Radman, Thomas – National Institutes of Health

Rajapakse, Sula – TFI

Ramstein, Guillaume – University of Wisconsin, Madison

Raphael, Louise – Howard University

Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×

Ratpan, Flora – NOVA Chemicals

Ray, Rebecca – University of Wisconsin, Madison

Risso, Davide – University of California, Berkeley

Robinowitz, Max – Retired

Rosemond, Erica – National Institutes of Health

Russek-Cohen, Estelle – U.S. Food and Drug Administration

Russell, Adam – Intelligence Advanced Research Projects Activity

Russell, Thomas – National Science Foundation

Ryan, Patrick – Janssen Research and Development

Sadsad, Rosemarie – Westmead Hospital

Saigal, Sanjay – University of California, Davis

Salnikow, Konstantin – National Institutes of Health

Schneeman, Paul – American Statistical Association

Schuette, Paul – U.S. Food and Drug Administration

Schwalbe, Michelle – National Academies of Sciences, Engineering, and Medicine

Scovell, James – Intel

Sebastian, Rhonda – U.S. Department of Agriculture

Selimovic, Seila – U.S. Department of State

Setti, Gianluca – University of Ferrara, Italy

Sezgin, Efe – Johns Hopkins University

Shachar, Netta – Tel Aviv University, Israel

Shieh, Ching-yi – National Institutes of Health

Soderberg, Courtney – Center for Open Science

Sorace, James – U.S. Department of Health and Human Services

Sorkin, Barbara – National Institutes of Health

Stodden, Victoria – University of Illinois, Urbana-Champaign

Straf, Miron – Virginia Bioinformatics Institute, Virginia Tech

Subramanian, Ayshwarya – Harvard School of Public Health

Suchard, Marc – University of California, Los Angeles

Sun, Hong-Wei – National Institutes of Health

Szewczyk, William – National Security Agency

Tabak, Lawrence – National Institutes of Health

Tannouri, Ahlam – Morgan State University

Thompson, Paul – Sanford Research

Tong, Frances – BD Technologies

Triche, Tim – University of Southern California

Tuttle, Mark

Vaagenes, Ian – Hines VA Hospital

Valeri, Linda – Harvard School of Public Health

Vargas, Juan

Vattikuti, Shashaank – National Institutes of Health

Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×

Waldron, Levi – City University of New York School of Public Health

Wang, Eva – HTG Molecular Diagnostics

Warshavski, Dan – Tel Aviv University, Israel

Wasserstein, Ronald – American Statistical Association

Waugh, Shawna – U.S. Energy Information Administration

Whittington, Kjersten – National Institutes of Health

Wolfers, Justin – University of Michigan

Wood, Benjamin – International Initiative for Impact Evaluation

Wright, Tracy – U.S. Environmental Protection Agency

Xia, Ashley – National Institutes of Health

Xiao, Ying – Thomas Jefferson University

Xu, Han – Dana-Farber Cancer Institute

Xu, Ya – LinkedIn Corporation

Yaseen, Muhammad – University of Agriculture Faisalabad, Pakistan

Yuan, May – University of Texas, Dallas

Zarin, Deborah – National Library of Medicine

Zhao, Fen – National Science Foundation

Zhu, Yiliang – University of South Florida

Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×
Page 109
Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×
Page 110
Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×
Page 111
Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×
Page 112
Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×
Page 113
Suggested Citation:"Appendix A: Registered Workshop Participants." National Academies of Sciences, Engineering, and Medicine. 2016. Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/21915.
×
Page 114
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Questions about the reproducibility of scientific research have been raised in numerous settings and have gained visibility through several high-profile journal and popular press articles. Quantitative issues contributing to reproducibility challenges have been considered (including improper data measurement and analysis, inadequate statistical expertise, and incomplete data, among others), but there is no clear consensus on how best to approach or to minimize these problems.

A lack of reproducibility of scientific results has created some distrust in scientific findings among the general public, scientists, funding agencies, and industries. While studies fail for a variety of reasons, many factors contribute to the lack of perfect reproducibility, including insufficient training in experimental design, misaligned incentives for publication and the implications for university tenure, intentional manipulation, poor data management and analysis, and inadequate instances of statistical inference.

The workshop summarized in this report was designed not to address the social and experimental challenges but instead to focus on the latter issues of improper data management and analysis, inadequate statistical expertise, incomplete data, and difficulties applying sound statistic inference to the available data. Many efforts have emerged over recent years to draw attention to and improve reproducibility of scientific work. This report uniquely focuses on the statistical perspective of three issues: the extent of reproducibility, the causes of reproducibility failures, and the potential remedies for these failures.

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