DOCSLIB.ORG

Reproducibility and Replicability in Science (2019)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

THE NATIONAL ACADEMIES PRESS This PDF is available at http://nap.edu/25303 SHARE Reproducibility and Replicability in Science (2019) DETAILS 256 pages | 6 x 9 | PAPERBACK ISBN 978-0-309-48616-3 | DOI 10.17226/25303 CONTRIBUTORS GET THIS BOOK Committee on Reproducibility and Replicability in Science; Board on Behavioral, Cognitive, and Sensory Sciences; Committee on National Statistics; Division of Behavioral and Social Sciences and Education; Nuclear and Radiation Studies FIND RELATED TITLES Board; Division on Earth and Life Studies; Board on Mathematical Sciences and Analytics; Committee on Applied and Theoretical Statistics; Division on SUGGESTEDEngineering an CITATIONd Physical Sciences; Board on Research Data and Information; NCaotmiomnaittl eAec oand eSmciiesn coef ,S Ecniegninceeesr, inEgn,g Mineedeircininge,, aanndd MPeudbilcicin Peo 2li0c1y;9 P. Roleicpyr oadnudcibility aGnlodb Rael Aplfifcaairbsi;li tNy ainti oSncaiel Ancea.d Wemaisehsi nogf tSonc,ie DnCce: sT,h Een Ngianteioenrainl gA, caandde Mmeiedsi cPinress. https://doi.org/10.17226/25303. Visit the National Academies Press at NAP.edu and login or register to get: – Access to free PDF downloads of thousands of scientific reports – 10% off the price of print titles – Email or social media notifications of new titles related to your interests – Special offers and discounts Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the National Academies Press. (Request Permission) Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved. Reproducibility and Replicability in Science Reproducibility and Replicability in Science Committee on Reproducibility and Replicability in Science Board on Behavioral, Cognitive, and Sensory Sciences Committee on National Statistics Division of Behavioral and Social Sciences and Education Nuclear and Radiation Studies Board Division on Earth and Life Studies Board on Mathematical Sciences and Analytics Committee on Applied and Theoretical Statistics Division on Engineering and Physical Sciences Board on Research Data and Information Committee on Science, Engineering, Medicine, and Public Policy Policy and Global Affairs A Consensus Study Report of Copyright National Academy of Sciences. All rights reserved. Reproducibility and Replicability in Science THE NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001 This activity was supported by contracts between the National Academy of Sci- ences and Alfred P. Sloan Foundation (G-2018-10102) and the National Science Foundation (1743856). Support for the work of the Board on Behavioral, Cognitive, and Sensory Sciences is provided primarily by a grant from the National Science Foundation (Award No. BCS-1729167). Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project. International Standard Book Number-13: 978-0-309-48616-3 International Standard Book Number-10: 0-309-48616-5 Digital Object Identifier: https://doi.org/10.17226/25303 Library of Congress Control Number: 2019946492 Additional copies of this publication are available from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu. Copyright 2019 by the National Academy of Sciences. All rights reserved. Printed in the United States of America Suggested citation: National Academies of Sciences, Engineering, and Medicine. (2019). Reproducibility and Replicability in Science. Washington, DC: The National Academies Press. https://doi.org/10.17226/25303. Copyright National Academy of Sciences. All rights reserved. Reproducibility and Replicability in Science The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, nongovernmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president. The National Academy of Engineering was established in 1964 under the charter of the National Academy of Sciences to bring the practices of engineering to advising the nation. Members are elected by their peers for extraordinary contributions to engineering. Dr. C. D. Mote, Jr., is president. The National Academy of Medicine (formerly the Institute of Medicine) was established in 1970 under the charter of the National Academy of Sciences to advise the nation on medical and health issues. Members are elected by their peers for distinguished contributions to medicine and health. Dr. Victor J. Dzau is president. The three Academies work together as the National Academies of Sciences, Engineering, and Medicine to provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. The National Academies also encourage education and research, recognize outstanding contributions to knowledge, and increase public understanding in matters of science, engineering, and medicine. Learn more about the National Academies of Sciences, Engineering, and Medicine at www.nationalacademies.org. Copyright National Academy of Sciences. All rights reserved. Reproducibility and Replicability in Science Consensus Study Reports published by the National Academies of Sciences, Engineering, and Medicine document the evidence-based consensus on the study’s statement of task by an authoring committee of experts. Reports typically include findings, conclusions, and recommendations based on information gathered by the committee and the committee’s deliberations. Each report has been subjected to a rigorous and independent peer-review process and it represents the position of the National Academies on the statement of task. Proceedings published by the National Academies of Sciences, Engineering, and Medicine chronicle the presentations and discussions at a workshop, symposium, or other event convened by the National Academies. The statements and opinions contained in proceedings are those of the participants and are not endorsed by other participants, the planning committee, or the National Academies. For information about other products and activities of the National Academies, please visit www.nationalacademies.org/about/whatwedo. Copyright National Academy of Sciences. All rights reserved. Reproducibility and Replicability in Science COMMITTEE ON REPRODUCIBILITY AND REPLICABILITY IN SCIENCE HARVEY V. FINEBERG1 (Chair), Gordon and Betty Moore Foundation DAVID B. ALLISON,1 Indiana University, Bloomington LORENA A. BARBA, The George Washington University DIANNE CHONG,2 Boeing Research and Technology (retired) DAVID DONOHO,3,4 Stanford University JULIANA FREIRE, New York University GERALD GABRIELSE,3 Northwestern University CONSTANTINE GATSONIS, Brown University EDWARD HALL, Harvard University THOMAS H. JORDAN,3 University of Southern California DIETRAM A. SCHEUFELE, University of Wisconsin–Madison VICTORIA STODDEN, University of Illinois at Urbana–Champaign SIMINE VAZIRE,5 University of California, Davis TIMOTHY D. WILSON, University of Virginia WENDY WOOD, University of Southern California and INSEAD-Sorbonne JENNIFER HEIMBERG, Study Director THOMAS ARRISON, Program Director MICHAEL COHEN, Senior Program Officer MICHELLE SCHWALBE, Director, Board on Mathematical Sciences and Analytics ADRIENNE STITH BUTLER, Associate Board Director BARBARA A. WANCHISEN, Director, Board on Behavioral, Cognitive, and Sensory Sciences TINA WINTERS, Associate Program Officer REBECCA MORGAN, Senior Librarian THELMA COX, Program Coordinator (beginning January 2019) LESLEY WEBB, Program Assistant (September 2018 through January 2019) GARRET TYSON, Program Assistant (September 2017 through August 2018) ERIN HAMMERS FORSTAG, Consultant Writer 1 Member of the National Academy of Medicine. 2 Member of the National Academy of Engineering. 3 Member of the National Academy of Sciences. 4 Resigned from the committee July 24, 2018. 5 Resigned from the committee October 11, 2018. v Copyright National Academy of Sciences. All rights reserved. Reproducibility and Replicability in Science BOARD ON BEHAVIORAL, COGNITIVE, AND SENSORY SCIENCES Division of Behavioral and Social Sciences and Education SUSAN FISKE1 (Chair), Princeton University JOHN BAUGH, Washington University in St. Louis LAURA CARTENSEN,2 Stanford University JUDY DUBNO, Medical University of South Carolina JENNIFER EBERHARDT,1 Stanford University WILSON S. GEISLER,1 The University of Texas at Austin MICHELE GELFAND, University of Maryland, College Park NANCY G. KANWISHER,1 Massachusetts Institute of Technology JANICE KIECOLT-GLASER,2 The Ohio State University College of Medicine WILLIAM (BILL) MAURER, University of California, Irvine TERRIE E. MOFFITT,2 Duke University ELIZABETH A. PHELPS, Harvard University STEVEN E. PETERSEN, Washington University in St. Louis DANA SMALL, Yale University TIMOTHY J. STRAUMAN, Duke University BARBARBA A. WANCHISEN, Director 1 Member of the National Academy of Sciences. 2 Member of the National Academy of Medicine. vi Copyright National Academy of Sciences. All rights reserved. Reproducibility and Replicability in Science COMMITTEE ON NATIONAL STATISTICS Division of Behavioral and Social Sciences and Education ROBERT M. GROVES1,2 (Chair), Georgetown University
Recommended publications
  • Case 1:20-Cv-00323-LY Document 49-2 Filed 04/02/20 Page 1 of 34

    Case 1:20-Cv-00323-LY Document 49-2 Filed 04/02/20 Page 1 of 34

    Case 1:20-cv-00323-LY Document 49-2 Filed 04/02/20 Page 1 of 34 EXHIBIT 12 Case 1:20-cv-00323-LY Document 49-2 Filed 04/02/20 Page 2 of 34 IN THE UNITED STATES DISTRICT COURT FOR THE WESTERN DISTRICT OF TEXAS AUSTIN DIVISION PLANNED PARENTHOOD CENTER FOR CHOICE, et al., Plaintiffs, v. No. 1:20-cv-00323-LY GREG ABBOTT, in his official capacity as Governor of Texas, et al., Defendants. DECLARATION OF MARY TRAVIS BASSETT, M.D., M.P.H., IN SUPPORT OF PLAINTIFFS’ MOTION FOR PRELIMINARY INJUNCTION I, Mary Travis Bassett, M.D., M.P.H. declare as follows: 1. I am the Director of the François-Xavier Bagnoud (“FXB”) Center for Health and Human Rights at Harvard University, as well as the FXB Professor of the Practice of Health and Human Rights at the Harvard T.H. Chan School of Public Health. I am offering this declaration on my own behalf and not on that of Harvard University or other professional organizations that are noted. 2. I served as Commissioner of the New York City Department of Health and Mental Hygiene (DOHMH) from 2014–2018 and led New York’s response to the Ebola pandemic. I also led DOHMH as the City responded to a large outbreak of Legionnaires’ disease and the Zika outbreak in South America and the Caribbean. Previously, I had been the Program Director for the African Health Initiative and the Child Well-Being Program at the Doris Duke Charitable Foundation (2009–2014). Prior to that, I served as Deputy Commissioner of Health Promotion and Disease Prevention, for the New York City Department of Health and Mental Hygiene (2002– 2009).
  • Professor Peter Piot Joins the Board of Biocon Biologics Limited As an Independent Director

    Professor Peter Piot Joins the Board of Biocon Biologics Limited As an Independent Director

    PRESS RELEASE Professor Peter Piot Joins the Board of Biocon Biologics Limited as an Independent Director Bengaluru, India; January 21, 2021: Biocon Biologics Ltd., a fully integrated ‘pure play’ biosimilars company and a subsidiary of Biocon Ltd. (BSE code: 532523, NSE: BIOCON), announced today that it has inducted Professor Peter Piot to its Board as an Independent Director. Professor Piot, MD, PhD is the Director of the London School of Hygiene & Tropical Medicine and the Handa Professor of Global Health. Ms Kiran Mazumdar-Shaw, Executive Chairperson, Biocon, said: “I welcome Professor Peter Piot to the Biocon Biologics board. He brings years of scientific expertise, long experience in public health interventions and policy framing on major health issues. His thought leadership and invaluable experience in global healthcare will greatly guide our actions in building Biocon Biologics into an innovative global leader in biosimilars committed to delivering affordable access to life saving Biologics.” On his decision to join the Biocon Biologics board, Professor Peter Piot said: “I am delighted to join dynamic Biocon Biologics and its vital mission of bringing the products of innovation to those who can benefit from them. The world over governments are challenged to contain the spiralling healthcare costs and companies like Biocon Biologics are committed to pursue the path of innovation that enables affordable access to patients globally and in turn helps healthcare systems lower their spends. With several exciting biosimilar molecules in its pipeline, I believe Biocon Biologics has the potential to be truly disruptive in addressing a global need for high quality, affordable biosimilar therapies to treat chronic diseases like diabetes and cancer and save many lives." Professor Piot has been appointed to the board of Biocon Biologics Limited for a period of three years starting January 21, 2021.
  • Contact Via Email: Carol.Runyan@Cuanschutz.Edu Or Crunyan@Email.Unc.Edu

    Contact Via Email: [email protected] Or [email protected]

    Curriculum Vitae CAROL WOLF RUNYAN (contact via email: [email protected] or [email protected]) EDUCATIONAL HISTORY: B.A. 1972 Department of Biology Macalester College St. Paul, Minnesota M.P.H. 1975 Interdisciplinary Studies Program School of Public Health University of Minnesota Minneapolis, Minnesota Pre-doctoral 1980- Bush Institute for Child and Family Policy Fellowship 1982 University of North Carolina Chapel Hill, North Carolina Ph.D. 1983 Department of Health Education (Minor: Epidemiology) School of Public Health University of North Carolina Chapel Hill, North Carolina Postdoctoral 1986 Department of Epidemiology (Injury Epidemiology) Fellowship School of Hygiene and Public Health Johns Hopkins University Baltimore, Maryland Special course 1992 Program for Technology Managers UNC Kenan-Flagler Business School Chapel Hill, NC Special course 2009 Leadership Development Program Center for Creative Leadership Greensboro, NC Special Program 2010 Fellow, Academic Leadership Program University of North Carolina-Chapel Hill Fall 2012 Council of Education in Public Health (CEPH) Reviewer Training Special Program 2013-14 Leadership in Innovative Team Science (LITeS) Senior Leadership Program University of Colorado School of Medicine Page 2 Curriculum vitae Carol W. Runyan EMPLOYMENT HISTORY: Current position: 2011-present Emeritus Professor Department of Health Behavior and Health Education University of North Carolina Gillings School of Global Public Health 2018-present Co-Director, Program for Injury Prevention, Education
  • Sources of False Positives and False Negatives in the STATCHECK 1 Algorithm: Reply to Nuijten Et Al

    Sources of False Positives and False Negatives in the STATCHECK 1 Algorithm: Reply to Nuijten Et Al

    Cite as: Schmidt, T. (2017). Sources of false positives and false negatives in the STATCHECK 1 algorithm: Reply to Nuijten et al. (2016). arXiv:1610.01010v8 [q-bio.NC] Sources of false positives and false negatives in the STATCHECK algorithm: Reply to Nuijten et al. (2016) arXiv:1610.01010v8 [q-bio.NC] Thomas Schmidt University of Kaiserslautern, Germany Experimental Psychology Unit www.sowi.uni-kl.de/psychologie [email protected] Abstract STATCHECK is an R algorithm designed to scan papers automatically for inconsistencies between test statistics and their associated p values (Nuijten et al., 2016). The goal of this comment is to point out an important and well-documented flaw in this busily applied algorithm: It cannot handle corrected p values. As a result, statistical tests applying appropriate corrections to the p value (e.g., for multiple tests, post-hoc tests, violations of assumptions, etc.) are likely to be flagged as reporting inconsistent statistics, whereas papers omitting necessary corrections are certified as correct. The STATCHECK algorithm is thus valid for only a subset of scientific papers, and conclusions about the quality or integrity of statistical reports should never be based solely on this program. STATCHECK is an R algorithm designed to scan papers automatically for inconsistencies between test statistics and their reported p values (Nuijten, Hartgerink, van Assen, Epskamp, and Wicherts, 2016). The algorithm is currently part of these authors’ project to automatically scan thousands of scientific psychology papers and post the results on a website when the program detects some discrepancy, essentially flagging papers for reporting inconsistent test statistics.
  • Good Chemistry James J

    Good Chemistry James J

    Columbia College Fall 2012 TODAY Good Chemistry James J. Valentini Transitions from Longtime Professor to Dean of the College your Contents columbia connection. COVER STORY FEATURES The perfect midtown location: 40 The Home • Network with Columbia alumni Front • Attend exciting events and programs Ai-jen Poo ’96 gives domes- • Dine with a client tic workers a voice. • Conduct business meetings BY NATHALIE ALONSO ’08 • Take advantage of overnight rooms and so much more. 28 Stand and Deliver Joel Klein ’67’s extraordi- nary career as an attorney, educator and reformer. BY CHRIS BURRELL 18 Good Chemistry James J. Valentini transitions from longtime professor of chemistry to Dean of the College. Meet him in this Q&A with CCT Editor Alex Sachare ’71. 34 The Open Mind of Richard Heffner ’46 APPLY FOR The venerable PBS host MEMBERSHIP TODAY! provides a forum for guests 15 WEST 43 STREET to examine, question and NEW YORK, NY 10036 disagree. TEL: 212.719.0380 BY THOMAS VIncIGUERRA ’85, in residence at The Princeton Club ’86J, ’90 GSAS of New York www.columbiaclub.org COVER: LESLIE JEAN-BART ’76, ’77J; BACK COVER: COLIN SULLIVAN ’11 WITHIN THE FAMILY DEPARTMENTS ALUMNI NEWS Déjà Vu All Over Again or 49 Message from the CCAA President The Start of Something New? Kyra Tirana Barry ’87 on the successful inaugural summer of alumni- ete Mangurian is the 10th head football coach since there, the methods to achieve that goal. The goal will happen if sponsored internships. I came to Columbia as a freshman in 1967. (Yes, we you do the other things along the way.” were “freshmen” then, not “first-years,” and we even Still, there’s no substitute for the goal, what Mangurian calls 50 Bookshelf wore beanies during Orientation — but that’s a story the “W word.” for another time.) Since then, Columbia has compiled “The bottom line is winning,” he said.
  • Changes on CRAN 2014-07-01 to 2014-12-31

    Changes on CRAN 2014-07-01 to 2014-12-31

    NEWS AND NOTES 192 Changes on CRAN 2014-07-01 to 2014-12-31 by Kurt Hornik and Achim Zeileis New packages in CRAN task views Bayesian BayesTree. Cluster fclust, funFEM, funHDDC, pgmm, tclust. Distributions FatTailsR, RTDE, STAR, predfinitepop, statmod. Econometrics LinRegInteractive, MSBVAR, nonnest2, phtt. Environmetrics siplab. Finance GCPM, MSBVAR, OptionPricing, financial, fractal, riskSimul. HighPerformanceComputing GUIProfiler, PGICA, aprof. MachineLearning BayesTree, LogicForest, hdi, mlr, randomForestSRC, stabs, vcrpart. MetaAnalysis MAVIS, ecoreg, ipdmeta, metaplus. NumericalMathematics RootsExtremaInflections, Rserve, SimplicialCubature, fastGHQuad, optR. OfficialStatistics CoImp, RecordLinkage, rworldmap, tmap, vardpoor. Optimization RCEIM, blowtorch, globalOptTests, irace, isotone, lbfgs. Phylogenetics BAMMtools, BoSSA, DiscML, HyPhy, MPSEM, OutbreakTools, PBD, PCPS, PHYLOGR, RADami, RNeXML, Reol, Rphylip, adhoc, betapart, dendextend, ex- pands, expoTree, jaatha, kdetrees, mvMORPH, outbreaker, pastis, pegas, phyloTop, phyloland, rdryad, rphast, strap, surface, taxize. Psychometrics IRTShiny, PP, WrightMap, mirtCAT, pairwise. ReproducibleResearch NMOF. Robust TEEReg, WRS2, robeth, robustDA, robustgam, robustloggamma, robustreg, ror, rorutadis. Spatial PReMiuM. SpatioTemporal BayesianAnimalTracker, TrackReconstruction, fishmove, mkde, wildlifeDI. Survival DStree, ICsurv, IDPSurvival, MIICD, MST, MicSim, PHeval, PReMiuM, aft- gee, bshazard, bujar, coxinterval, gamboostMSM, imputeYn, invGauss, lsmeans, multipleNCC, paf, penMSM, spBayesSurv,
  • Sara Lopez-Pintado, Phd

    Sara Lopez-Pintado, Phd

    Sara Lopez-Pintado, PhD Associate Professor Department of Health Sciences Bouvé College of Health Sciences Northeastern University 316 Robinson Hall, Rm 312c Boston, MA 02115 phone: 617-373-8249 (office) email: [email protected] Date of preparation of CV: October 17, 2018 Personal data: Name: Sara Lopez-Pintado Birthdate: May 2, 1975 Birthplace: Cordoba, Spain Citizenship: Spain Academic appointments and work experience: August, 2018 - present, Associate Professor, Department of Health Sciences, Bouvé Col- • lege of Health Sciences, Northeastern University, Boston, MA, USA. January, 2010 - August 2018, Assistant Professor of Biostatistics, Department of Biostatis- • tics, Mailman School of Public Health, Columbia University, New York, USA. September, 2006 - present, Associate Professor of Statistics, Department of Economics • and Quantitative Methods, University Pablo de Olavide, Seville, Spain, (currently on leave). September, 2007 - August, 2008, Visiting Professor, Department of Biostatistics, Columbia • University, New York, USA. September, 2005 - August 2006, Postdoc and Lecturer, Department of Statistics, Rutgers • University, New Jersey, USA. September, 1998 - August, 2005, Instructor, Department of Statistics and Econometrics, • University Carlos III of Madrid, Spain. 1 Education: September, 1998 - August, 2005, PhD (Statistics) July, 2005, Department of Statistics • and Econometrics, University Carlos III of Madrid, Spain. Thesis title: On the concept of depth for functional data Sponsor: Juan Romo Best thesis award in University Carlos III of Madrid, 2005 October, 1994 - July, 1998, BA Mathematics (field statistics), University of Sevilla, Spain. • Training: September, 2005 - August 2006, Postdoctoral training, Department of Statistics, Rutgers • University, New Jersey, USA. Gaps in work/training/education: I had two children during the tenure track period: Daniel (born in September 2011) and Emma (born in May 2014).
  • From Inquiry to Impact Innovating Instruction

    From Inquiry to Impact Innovating Instruction

    SPRING/SUMMER 2017 FROM INQUIRY TO IMPACT Nursing scholars channel curiosity into practice change INNOVATING INSTRUCTION Concept-based curriculum to launch this fall Recent DNP graduates celebrate in Cooper Hall after earning their doctoral degrees, which prepare them for careers in advanced practice and leadership in the healthcare system. Front Cover: Assistant Professors Linsey Steege, Barbara King, Lisa Bratzke, Tonya Roberts Photography Front/Inside Front Cover: Alexander André/School of Nursing ForwardNursing Volume 3, Issue 1 Spring/Summer 2017 EDITORIAL STAFF Alexander André Amy Bethel Jennifer Garrett PHOTOGRAPHY Alexander André, SoN; UWSMPH CONTENTS Media Solutions; John Maniaci, UW Health Communications. Uncredited photos are either stock or nonprofessional photography. DESIGN UWSMPH Media Solutions FEATURES SCHOOL OF NURSING INNOVATIVE ADMINISTRATION Linda D. Scott, Dean 4 INSTRUCTION Melanie Schmidt, Chief of Staff Concept-based curriculum Barbara J. Bowers, Associate Dean for Research and Sponsored Programs to launch this fall Susan Zahner, Associate Dean for Faculty Affairs Dundee McNair, Associate Dean FROM INQUIRY for Administration 7 Earlise Ward, Interim Associate Dean TO IMPACT for Academic Affairs A closer look at the nursing scholars Karen Mittelstadt, Assistant Dean for Academic Affairs channeling their curiosity into change that improves nursing practice, patient NURSES ALUMNI ORGANIZATION experience and health outcomes Madeleine Wentzel, President 701 Highland Avenue Madison, WI 53705 LEAD FROM WHERE [email protected]
  • The Reproducibility of Statistical Results in Psychological Research: an Investigation Using Unpublished Raw Data

    The Reproducibility of Statistical Results in Psychological Research: an Investigation Using Unpublished Raw Data

    Psychological Methods © 2020 American Psychological Association 2020, Vol. 2, No. 999, 000 ISSN: 1082-989X https://doi.org/10.1037/met0000365 The Reproducibility of Statistical Results in Psychological Research: An Investigation Using Unpublished Raw Data Richard Artner, Thomas Verliefde, Sara Steegen, Sara Gomes, Frits Traets, Francis Tuerlinckx, and Wolf Vanpaemel Faculty of Psychology and Educational Sciences, KU Leuven Abstract We investigated the reproducibility of the major statistical conclusions drawn in 46 articles published in 2012 in three APA journals. After having identified 232 key statistical claims, we tried to reproduce, for each claim, the test statistic, its degrees of freedom, and the corresponding p value, starting from the raw data that were provided by the authors and closely following the Method section in the article. Out of the 232 claims, we were able to successfully reproduce 163 (70%), 18 of which only by deviating from the article’s analytical description. Thirteen (7%) of the 185 claims deemed significant by the authors are no longer so. The reproduction successes were often the result of cumbersome and time-consuming trial-and-error work, suggesting that APA style reporting in conjunction with raw data makes numerical verification at least hard, if not impossible. This article discusses the types of mistakes we could identify and the tediousness of our reproduction efforts in the light of a newly developed taxonomy for reproducibility. We then link our findings with other findings of empirical research on this topic, give practical recommendations on how to achieve reproducibility, and discuss the challenges of large-scale reproducibility checks as well as promising ideas that could considerably increase the reproducibility of psychological research.
  • Yuanjia Wang 722 West 168Th Street, Room 647 New York, NY 10032 Email: Yw2016@Cumc.Columbia.Edu Academic Appointments

    Yuanjia Wang 722 West 168Th Street, Room 647 New York, NY 10032 Email: [email protected] Academic Appointments

    Yuanjia Wang 722 West 168th Street, Room 647 New York, NY 10032 Email: [email protected] Academic Appointments: • Professor of Biostatistics (in Psychiatry, with Tenure), 2018-present Department of Biostatistics, Mailman School of Public Health, Columbia University Department of Psychiatry, Columbia University Medical Center, Columbia University • Associate Professor of Biostatistics (in Psychiatry, with Tenure), 2013-2018 Department of Biostatistics, Mailman School of Public Health, Columbia University Department of Psychiatry, Columbia University Medical Center, Columbia University • Assistant Professor of Biostatistics (in Psychiatry), 2006-2013 Department of Biostatistics, Mailman School of Public Health, Columbia University Department of Psychiatry, Columbia University Medical Center, Columbia University, • Core Faculty Member, 2006-current Division of Biostatistics, New York State Psychiatric Institute • Affiliated Member, 2018-current, Data Science Institute, Columbia University • Affiliate member, 2019-current, Zuckerman Institute for Mind, Brain, and Behavior, Columbia University Academic Training: • Ph.D. in Statistics, Department of Statistics, Columbia University, 2005 • B.A., Information Management and Decision Theory, University of Science and Technol- ogy of China, 2001 • B.A., Computer Sciences (Double Major), University of Science and Technology of China, 2001 Traineeship: • Post-Doctoral Research Scientist, 2005–2006, Gertrude H. Sergievsky Center, Columbia University Medical Center Honors: • Elected Fellow, American Statistical Association (ASA). 2016. • Tow Faculty Leadership Scholars Award, Mailman School of Public Health, Columbia Univer- sity. 2015-2018. • Distinguished Poster Award, The International Society for Clinical Trials and Methodology 7th Annual Meeting, Baltimore, 2010. • Diversity Research Fellowship Award, Columbia University. 2009-2010 • Calderone Prize for Junior Faculty, Columbia University. 2006-2007 1 • Faculty Fellowship, Columbia University. 2001-2005 • Fellowship, Chinese Academy of Sciences.
  • CURRICULUM VITAE Mary Travis Bassett Commissioner New York

    CURRICULUM VITAE Mary Travis Bassett Commissioner New York

    CURRICULUM VITAE Mary Travis Bassett Commissioner New York City Department of Health and Mental Hygiene 42-09 28th Street Queens, NY 11101 347-396-4100 Date of preparation April 2018 Academic Training June 1985 M.P.H., University of Washington Seattle, Washington May 1979 M.D., Columbia College of Physicians and Surgeons New York, New York June 1974 A.B., Cum Laude, History and Science, Radcliffe College Cambridge, Massachusetts Traineeships 1983-1985 Robert Wood Johnson Clinical Scholar University of Washington Seattle, Washington 1982-1983 Chief Resident, Department of Medicine Harlem Hospital Center New York, New York 1979-1982 Residency Training, Internal Medicine Harlem Hospital Center New York, New York Board Certification and Licensure Board Qualification 1983 Diplomate, American Board of Internal Medicine Candidate 089171 Licensure 1981 New York (active) Committees, Professional Organizations and Societies Member Tobacco Products Scientific Advisory Committee, Food and Drug Administration (February 2018-present) Member National Academy of Medicine (2017-present) Member Advisory Board, New York University College of Global Public Health (2017-present) Member Board of Directors, Truth Initiative (2017-present) Member External Advisory Board, NYU School of Medicine, Department of Population Health (2016-present) Chair NYC Board of Health (2014-present) Chair and President Board of Directors, Fund for Public Health in New York City (2014- present) Member Board of Directors, NYC Health + Hospitals Corporation (2014- present) Member
  • Replicability, Robustness, and Reproducibility in Psychological Science

    Replicability, Robustness, and Reproducibility in Psychological Science

    1 Replicability, Robustness, and Reproducibility in Psychological Science Brian A. Nosek Center for Open Science; University of Virginia Tom E. Hardwicke University of Amsterdam Hannah Moshontz University of Wisconsin-Madison Aurélien Allard University of California, Davis Katherine S. Corker Grand Valley State University Anna Dreber Stockholm School of Economics; University of Innsbruck Fiona Fidler University of Melbourne Joe Hilgard Illinois State University Melissa Kline Struhl Center for Open Science Michèle Nuijten Meta-Research Center; Tilburg University Julia Rohrer Leipzig University Felipe Romero University of Groningen Anne Scheel Eindhoven University of Technology Laura Scherer University of Colorado Denver - Anschutz Medical Campus Felix Schönbrodt Ludwig-Maximilians-Universität München, LMU Open Science Center Simine Vazire University of Melbourne In press at the Annual Review of Psychology Final version Completed: April 6, 2021 Authors’ note: B.A.N. and M.K.S. are employees of the nonprofit Center for Open Science that has a mission to increase openness, integrity, and reproducibility of research. K.S.C. is the unpaid executive officer of the nonprofit Society for the Improvement of Psychological Science. This work was supported by grants to B.A.N. from Arnold Ventures, John Templeton Foundation, Templeton World Charity Foundation, and Templeton Religion Trust. T.E.H. received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 841188. We thank Adam Gill for assistance creating Figures 1, 2, and S2. Data, materials, and code are available at https://osf.io/7np92/. B.A.N. Drafted the outline and manuscript sections, collaborated with section leads on conceptualizing and drafting their components, coded replication study outcomes for Figure 1, coded journal policies for Figure 5.