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Accountability in Research
Ethics, Integrity and Policy
Volume 9, 2002 - Issue 2
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Original Articles

Terminal Digits and the Examination of Questioned Data

James Mosimann
,
John Dahlberg
,
Nancy Davidian
&
John Krueger
Pages 75-92 | Published online: 08 Sep 2010

Citations (15)

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Read on this site (3)

Walter R. Schumm, Duane W. Crawford, Lorenza Lockett, Abdullah AlRashed & Asma Bin Ateeq. (2023) Research anomalies in criminology: How serious? How extensive over time? And who was responsible?. Accountability in Research 0:0, pages 1-37.
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Paul Colin de Gloucester. (2013) Referees Often Miss Obvious Errors in Computer and Electronic Publications. Accountability in Research 20:3, pages 143-166.
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Andreas Diekmann. (2007) Not the First Digit! Using Benford's Law to Detect Fraudulent Scientif ic Data. Journal of Applied Statistics 34:3, pages 321-329.
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Articles from other publishers (12)

Walter R. Schumm, Duane W. Crawford, Lorenza Lockett, Asma bin Ateeq & Abdullah AlRashed. (2023) Can Retracted Social Science Articles Be Distinguished from Non-Retracted Articles by Some of the Same Authors, Using Benford’s Law or Other Statistical Methods?. Publications 11:1, pages 14.
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Taejung Park, Hyunjoo Song & Sang June Lee. (2021) Detecting and Recovering Integer Data Manipulated by Multiplication With a Nonintegral Real Number and a Rounding Operation. IEEE Access 9, pages 57149-57164.
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Keisuke Ejima, Stephanie L. Dickinson, Andrew W. Brown, Jack A. Yanovski, Kathryn A. Kaiser, Kevin D. Hall, Steven B. Heymsfield & David B. Allison. (2020) Exceptional reported effects and data anomalies merit explanation from “A randomized controlled trial of coordination exercise on cognitive function in obese adolescents” by Liu et al. (2018). Psychology of Sport and Exercise 46, pages 101604.
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Radiah Othman, Rashid Ameer & Fawzi Laswad. 2019. Organizational Auditing and Assurance in the Digital Age. Organizational Auditing and Assurance in the Digital Age 256 275 .
Chris H.J. Hartgerink & Jelte M. Wicherts. (2016) Research practices and assessment of research misconduct. ScienceOpen Research 0:0.
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Chris Hartgerink, Jelte Wicherts & Marcel van Assen. (2016) The value of statistical tools to detect data fabrication. Research Ideas and Outcomes 2.
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Joel H. Pitt & Helene Z. Hill. (2016) Statistical analysis of numerical preclinical radiobiological data. ScienceOpen Research 0:0.
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Chris Hartgerink & Stephen George. (2015) Problematic trial detection in ClinicalTrials.gov. Research Ideas and Outcomes 1, pages e7462.
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Timothy S Rich, Vasabjit Banerjee & Sterling Recker. (2013) Identifying the Institutional Effects of Mixed Systems in New Democracies: The Case of Lesotho. Journal of Asian and African Studies 49:6, pages 637-653.
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Bernd Beber & Alexandra Scacco. (2012) What the Numbers Say: A Digit-Based Test for Election Fraud. Political Analysis 20:2, pages 211-234.
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John E. Dahlberg & Nancy M. Davidian. (2010) Scientific Forensics: How the Office of Research Integrity can Assist Institutional Investigations of Research Misconduct During Oversight Review. Science and Engineering Ethics 16:4, pages 713-735.
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Michael O'Kelly. (2004) Using statistical techniques to detect fraud: a test case. Pharmaceutical Statistics 3:4, pages 237-246.
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