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Why Most Published Research Findings Are False

Citations

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Cited by:

  1. Pierre J C Chuard & Milan Vrtílek & Megan L Head & Michael D Jennions, 2019. "Evidence that nonsignificant results are sometimes preferred: Reverse P-hacking or selective reporting?," PLOS Biology, Public Library of Science, vol. 17(1), pages 1-7, January.
  2. John Copas & Shinto Eguchi, 2020. "Strong model dependence in statistical analysis: goodness of fit is not enough for model choice," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(2), pages 329-352, April.
  3. Gillian L Currie & Helena N Angel-Scott & Lesley Colvin & Fala Cramond & Kaitlyn Hair & Laila Khandoker & Jing Liao & Malcolm Macleod & Sarah K McCann & Rosie Morland & Nicki Sherratt & Robert Stewart, 2019. "Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis," PLOS Biology, Public Library of Science, vol. 17(5), pages 1-34, May.
  4. Mueller-Langer, Frank & Fecher, Benedikt & Harhoff, Dietmar & Wagner, Gert G., 2019. "Replication studies in economics—How many and which papers are chosen for replication, and why?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48(1), pages 62-83.
  5. Judit Dobránszki & Jaime A. Teixeira da Silva, 2019. "Corrective factors for author- and journal-based metrics impacted by citations to accommodate for retractions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 387-398, October.
  6. Omar Al-Ubaydli & John List, 2015. "Do Natural Field Experiments Afford Researchers More or Less Control than Laboratory Experiments? A Simple Model," Artefactual Field Experiments 00458, The Field Experiments Website.
  7. Thomas Pfeiffer & Robert Hoffmann, 2009. "Large-Scale Assessment of the Effect of Popularity on the Reliability of Research," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-4, June.
  8. Zacharias Maniadis & Fabio Tufano & John A. List, 2014. "One Swallow Doesn't Make a Summer: Reply to Kataria," Econ Journal Watch, Econ Journal Watch, vol. 11(1), pages 11-16, January.
  9. Stefan Stieglitz & Christian Meske & Björn Ross & Milad Mirbabaie, 2020. "Going Back in Time to Predict the Future - The Complex Role of the Data Collection Period in Social Media Analytics," Information Systems Frontiers, Springer, vol. 22(2), pages 395-409, April.
  10. Hoces de la Guardia, Fernando, 2017. "How Transparency and Reproducibility Can Increase Credibility in Policy Analysis: A Case Study of the Minimum Wage Policy Estimate," MetaArXiv ba7tr, Center for Open Science.
  11. Bernhard Voelkl & Lucile Vogt & Emily S Sena & Hanno Würbel, 2018. "Reproducibility of preclinical animal research improves with heterogeneity of study samples," PLOS Biology, Public Library of Science, vol. 16(2), pages 1-13, February.
  12. Vieland Veronica J & Hodge Susan E, 2011. "Measurement of Evidence and Evidence of Measurement," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-11, July.
  13. Gerhard Meisenberg & Michael Woodley, 2015. "Gender Differences in Subjective Well-Being and Their Relationships with Gender Equality," Journal of Happiness Studies, Springer, vol. 16(6), pages 1539-1555, December.
  14. Maren Duvendack & Richard W. Palmer-Jones & W. Robert Reed, 2015. "Replications in Economics: A Progress Report," Econ Journal Watch, Econ Journal Watch, vol. 12(2), pages 164–191-1, May.
  15. Roger Koppl & William Luther, 2012. "Hayek, Keynes, and modern macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 25(3), pages 223-241, September.
  16. Keith R Lohse & Kristin L Sainani & J Andrew Taylor & Michael L Butson & Emma J Knight & Andrew J Vickers, 2020. "Systematic review of the use of “magnitude-based inference” in sports science and medicine," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-22, June.
  17. Safary Wa-Mbaleka, 2015. "Focusing Research Publication on Global Issues: Evidence from the Philippines," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(5), pages 248-261, May.
  18. Bonan, Jacopo & Cattaneo, Cristina & d’Adda, Giovanna & Tavoni, Massimo, 2021. "Can social information programs be more effective? The role of environmental identity for energy conservation," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
  19. John Arthur Bukowski, 2009. "Epidemiologic Evidence for Chloroprene Carcinogenicity: Review of Study Quality and its Application to Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 29(9), pages 1203-1216, September.
  20. Alexander Schniedermann, 2021. "A comparison of systematic reviews and guideline-based systematic reviews in medical studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9829-9846, December.
  21. Charles F. Manski, 2017. "Improving Clinical Guidelines and Decisions under Uncertainty," NBER Working Papers 23915, National Bureau of Economic Research, Inc.
  22. Erik Snowberg & Leeat Yariv, 2018. "Testing the Waters: Behavior across Participant Pools," CESifo Working Paper Series 7136, CESifo.
  23. Brewer, Mike & Crossley, Thomas F. & Zilio, Federico, 2019. "What Do We Really Know about the Employment Effects of the UK's National Minimum Wage?," IZA Discussion Papers 12369, Institute of Labor Economics (IZA).
  24. Daniele Fanelli & Wolfgang Glänzel, 2013. "Bibliometric Evidence for a Hierarchy of the Sciences," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
  25. Thomas J. Kniesner & W. Kip Viscusi, 2023. "Compensating Differentials for Occupational Health and Safety Risks: Implications of Recent Evidence," Research in Labor Economics, in: 50th Celebratory Volume, volume 50, pages 83-116, Emerald Group Publishing Limited.
  26. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2016. "Star Wars: The Empirics Strike Back," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 1-32, January.
  27. Thierry Poynard & Dominique Thabut & Mona Munteanu & Vlad Ratziu & Yves Benhamou & Olivier Deckmyn, 2010. "Hirsch Index and Truth Survival in Clinical Research," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-10, August.
  28. Alexander Frankel & Maximilian Kasy, 2022. "Which Findings Should Be Published?," American Economic Journal: Microeconomics, American Economic Association, vol. 14(1), pages 1-38, February.
  29. David Amar & Ron Shamir & Daniel Yekutieli, 2017. "Extracting replicable associations across multiple studies: Empirical Bayes algorithms for controlling the false discovery rate," PLOS Computational Biology, Public Library of Science, vol. 13(8), pages 1-22, August.
  30. Karla Hemming & Peter J Chilton & Richard J Lilford & Anthony Avery & Aziz Sheikh, 2012. "Bayesian Cohort and Cross-Sectional Analyses of the PINCER Trial: A Pharmacist-Led Intervention to Reduce Medication Errors in Primary Care," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-8, June.
  31. Jyotirmoy Sarkar, 2018. "Will P†Value Triumph over Abuses and Attacks?," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 7(4), pages 66-71, July.
  32. Valérie Orozco & Christophe Bontemps & Élise Maigné & Virginie Piguet & Annie Hofstetter & Anne Marie Lacroix & Fabrice Levert & Jean-Marc Rousselle, 2017. "How to make a pie? Reproducible Research for Empirical Economics & Econometrics," Post-Print hal-01939942, HAL.
  33. Kim, Jae H. & Ji, Philip Inyeob, 2015. "Significance testing in empirical finance: A critical review and assessment," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 1-14.
  34. Matthijs J H M van der Loos & Cornelius A Rietveld & Niina Eklund & Philipp D Koellinger & Fernando Rivadeneira & Gonçalo R Abecasis & Georgina A Ankra-Badu & Sebastian E Baumeister & Daniel J Benjami, 2013. "The Molecular Genetic Architecture of Self-Employment," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-15, April.
  35. Kyle Siler & Vincent Larivière & Cassidy R. Sugimoto, 2020. "The diverse niches of megajournals: Specialism within generalism," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(7), pages 800-816, July.
  36. Federico Echenique & Kevin He, 2024. "Screening p -hackers: Dissemination noise as bait," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 121(21), pages 2400787121-, May.
  37. Sedlmayr, Richard & Shah, Anuj & Sulaiman, Munshi, 2020. "Cash-plus: Poverty impacts of alternative transfer-based approaches," Journal of Development Economics, Elsevier, vol. 144(C).
  38. Thomas Dudek & Anne Ardila Brenøe & Jan Feld & Julia M. Rohrer, 2022. "No evidence that siblings’ gender affects personality across nine countries," ECON - Working Papers 408, Department of Economics - University of Zurich.
  39. Stephen Fox, 2016. "Dismantling The Box — Applying Principles For Reducing Preconceptions During Ideation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-27, August.
  40. Didier Sornette & Spencer Wheatley & Peter Cauwels, 2019. "The fair reward problem: the illusion of success and how to solve it," Papers 1902.04940, arXiv.org, revised Apr 2019.
  41. Andrew D Higginson & Marcus R Munafò, 2016. "Current Incentives for Scientists Lead to Underpowered Studies with Erroneous Conclusions," PLOS Biology, Public Library of Science, vol. 14(11), pages 1-14, November.
  42. Lionel Page & Charles N. Noussair & Robert Slonim, 2021. "The replication crisis, the rise of new research practices and what it means for experimental economics," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 210-225, December.
  43. Peter Van Schuerbeek & Chris Baeken & Johan De Mey, 2016. "The Heterogeneity in Retrieved Relations between the Personality Trait ‘Harm Avoidance’ and Gray Matter Volumes Due to Variations in the VBM and ROI Labeling Processing Settings," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-15, April.
  44. Sophie Smit & Anina N Rich & Regine Zopf, 2019. "Visual body form and orientation cues do not modulate visuo-tactile temporal integration," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-20, December.
  45. Black, Katie Jo & McCoy, Shawn J. & Weber, Jeremy G., 2019. "Fracking and indoor radon: Spurious correlation or cause for concern?," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 255-273.
  46. Kellner, Ralf & Rösch, Daniel, 2021. "A Bayesian Re-Interpretation of “significant” empirical financial research," Finance Research Letters, Elsevier, vol. 38(C).
  47. Michelle M. Nuño & Daniel L. Gillen, 2022. "On estimation in the nested case‐control design under nonproportional hazards," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 265-286, March.
  48. Amanda Fitzgerald & Naoise Mac Giollabhui & Louise Dolphin & Robert Whelan & Barbara Dooley, 2018. "Dissociable psychosocial profiles of adolescent substance users," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-16, August.
  49. Eric W Bridgeford & Shangsi Wang & Zeyi Wang & Ting Xu & Cameron Craddock & Jayanta Dey & Gregory Kiar & William Gray-Roncal & Carlo Colantuoni & Christopher Douville & Stephanie Noble & Carey E Prieb, 2021. "Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics," PLOS Computational Biology, Public Library of Science, vol. 17(9), pages 1-20, September.
  50. Jesper W. Schneider, 2015. "Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 411-432, January.
  51. Luigi Pace & Alessandra Salvan, 2020. "Likelihood, Replicability and Robbins' Confidence Sequences," International Statistical Review, International Statistical Institute, vol. 88(3), pages 599-615, December.
  52. Hsuan-Yu Pan & Shen-Ho Chang & Chuan-Chuan Huang, 2017. "The Success Key Factors of Medical Institutes in China," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 7(3), pages 1-6.
  53. Hou, Kewei & Xue, Chen & Zhang, Lu, 2017. "Replicating Anomalies," Working Paper Series 2017-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
  54. Ilya Plyusnin & Liisa Holm & Petri Törönen, 2019. "Novel comparison of evaluation metrics for gene ontology classifiers reveals drastic performance differences," PLOS Computational Biology, Public Library of Science, vol. 15(11), pages 1-27, November.
  55. Matteo M. Galizzi & Daniel Navarro-Martinez, 2019. "On the External Validity of Social Preference Games: A Systematic Lab-Field Study," Management Science, INFORMS, vol. 65(3), pages 976-1002, March.
  56. Luis Alfonso Dau & Grazia D. Santangelo & Arjen Witteloostuijn, 2022. "Replication studies in international business," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(2), pages 215-230, March.
  57. Noreen Goldman & Dana A Glei & Maxine Weinstein, 2016. "What Matters Most for Predicting Survival? A Multinational Population-Based Cohort Study," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-11, July.
  58. Theodore McCormack & Oliver Frings & Andrey Alexeyenko & Erik L L Sonnhammer, 2013. "Statistical Assessment of Crosstalk Enrichment between Gene Groups in Biological Networks," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-11, January.
  59. Sharp, Gemma C. & Lawlor, Deborah A. & Richardson, Sarah S., 2018. "It's the mother!: How assumptions about the causal primacy of maternal effects influence research on the developmental origins of health and disease," Social Science & Medicine, Elsevier, vol. 213(C), pages 20-27.
  60. Oliver Braganza, 2020. "A simple model suggesting economically rational sample-size choice drives irreproducibility," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-19, March.
  61. David Spiegelhalter, 2017. "Trust in numbers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 948-965, October.
  62. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Journal of Finance, American Finance Association, vol. 75(5), pages 2503-2553, October.
  63. Stephan B. Bruns & David I. Stern, 2019. "Lag length selection and p-hacking in Granger causality testing: prevalence and performance of meta-regression models," Empirical Economics, Springer, vol. 56(3), pages 797-830, March.
  64. Alberto Abadie, 2020. "Statistical Nonsignificance in Empirical Economics," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 193-208, June.
  65. Eduardo Simoes, 2013. "Scaling up alcohol intervention among youth and experiments of naturalistic settings," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(3), pages 333-334, June.
  66. Lui, P. Priscilla & Gobrial, Sarah & Pham, Savannah & Adams, Niki & Giadolor, Westley & Rollock, David, 2021. "Open Science and Multicultural Research: Some Data, Considerations, and Recommendations," OSF Preprints em9ua, Center for Open Science.
  67. Stanley, T. D. & Doucouliagos, Chris, 2019. "Practical Significance, Meta-Analysis and the Credibility of Economics," IZA Discussion Papers 12458, Institute of Labor Economics (IZA).
  68. Isaiah Andrews & Maximilian Kasy, 2019. "Identification of and Correction for Publication Bias," American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.
  69. Muradchanian, Jasmine & Hoekstra, Rink & Kiers, Henk & van Ravenzwaaij, Don, 2020. "How Best to Quantify Replication Success? A Simulation Study on the Comparison of Replication Success Metrics," MetaArXiv wvdjf, Center for Open Science.
  70. Diekmann Andreas & Jann Ben, 2010. "Benford’s Law and Fraud Detection: Facts and Legends," German Economic Review, De Gruyter, vol. 11(3), pages 397-401, August.
  71. Yariv, Leeat & Snowberg, Erik, 2018. "Testing the Waters: Behavior across Participant Pools," CEPR Discussion Papers 13015, C.E.P.R. Discussion Papers.
  72. Mark D Lindner & Richard K Nakamura, 2015. "Examining the Predictive Validity of NIH Peer Review Scores," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-12, June.
  73. Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
  74. Ferreira José A. & Berkhof Johannes & Souverein Olga & Zwinderman Koos, 2009. "A Multiple Testing Approach to High-Dimensional Association Studies with an Application to the Detection of Associations between Risk Factors of Heart Disease and Genetic Polymorphisms," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-58, January.
  75. Anton Kocheturov & Panos M. Pardalos & Athanasia Karakitsiou, 2019. "Massive datasets and machine learning for computational biomedicine: trends and challenges," Annals of Operations Research, Springer, vol. 276(1), pages 5-34, May.
  76. Barnes, J.C. & Boutwell, Brian B. & Beaver, Kevin M. & Gibson, Chris L. & Wright, John P., 2014. "On the consequences of ignoring genetic influences in criminological research," Journal of Criminal Justice, Elsevier, vol. 42(6), pages 471-482.
  77. Leonid Tiokhin & Minhua Yan & Thomas J. H. Morgan, 2021. "Competition for priority harms the reliability of science, but reforms can help," Nature Human Behaviour, Nature, vol. 5(7), pages 857-867, July.
  78. Strømland, Eirik & Torsvik, Gaute, 2019. "Intuitive Prosociality: Heterogeneous Treatment Effects or False Positive?," OSF Preprints hrx2y, Center for Open Science.
  79. Juan Ignacio Pe~na & Rosa Rodriguez & Silvia Mayoral, 2022. "Tail Risk of Electricity Futures," Papers 2202.01732, arXiv.org.
  80. Kathryn N. Vasilaky & J. Michelle Brock, 2020. "Power(ful) guidelines for experimental economists," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 189-212, December.
  81. Johan Almenberg & Ken Kittlitz & Thomas Pfeiffer, 2009. "An Experiment on Prediction Markets in Science," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-7, December.
  82. Stephan B. Bruns, Christian Gross and David I. Stern, 2014. "Is There Really Granger Causality Between Energy Use and Output?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  83. Karin Langenkamp & Bodo Rödel & Kerstin Taufenbach & Meike Weiland, 2018. "Open Access in Vocational Education and Training Research," Publications, MDPI, vol. 6(3), pages 1-12, July.
  84. Colin F. Camerer & Anna Dreber & Felix Holzmeister & Teck-Hua Ho & Jürgen Huber & Magnus Johannesson & Michael Kirchler & Gideon Nave & Brian A. Nosek & Thomas Pfeiffer & Adam Altmejd & Nick Buttrick , 2018. "Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015," Nature Human Behaviour, Nature, vol. 2(9), pages 637-644, September.
  85. Jeremy Arkes, 2020. "Teaching Graduate (and Undergraduate) Econometrics: Some Sensible Shifts to Improve Efficiency, Effectiveness, and Usefulness," Econometrics, MDPI, vol. 8(3), pages 1-23, September.
  86. Adam Altmejd & Anna Dreber & Eskil Forsell & Juergen Huber & Taisuke Imai & Magnus Johannesson & Michael Kirchler & Gideon Nave & Colin Camerer, 2019. "Predicting the replicability of social science lab experiments," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-18, December.
  87. Jared Coopersmith & Thomas D. Cook & Jelena Zurovac & Duncan Chaplin & Lauren V. Forrow, 2022. "Internal And External Validity Of The Comparative Interrupted Time‐Series Design: A Meta‐Analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 252-277, January.
  88. Jae H. Kim & Kamran Ahmed & Philip Inyeob Ji, 2018. "Significance Testing in Accounting Research: A Critical Evaluation Based on Evidence," Abacus, Accounting Foundation, University of Sydney, vol. 54(4), pages 524-546, December.
  89. Kevin J. Boyle & Mark Morrison & Darla Hatton MacDonald & Roderick Duncan & John Rose, 2016. "Investigating Internet and Mail Implementation of Stated-Preference Surveys While Controlling for Differences in Sample Frames," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(3), pages 401-419, July.
  90. Entorf, Horst & Hou, Jia, 2018. "Financial Education for the Disadvantaged? A Review," IZA Discussion Papers 11515, Institute of Labor Economics (IZA).
  91. Matthijs Loos & Philipp Koellinger & Patrick Groenen & Cornelius Rietveld & Fernando Rivadeneira & Frank Rooij & André Uitterlinden & Albert Hofman & A. Thurik, 2011. "Candidate gene studies and the quest for the entrepreneurial gene," Small Business Economics, Springer, vol. 37(3), pages 269-275, October.
  92. Ioannidis, John P.A., 2009. "Limits to forecasting in personalized medicine: An overview," International Journal of Forecasting, Elsevier, vol. 25(4), pages 773-783, October.
  93. Luigi Butera & John A. List, 2017. "An Economic Approach to Alleviate the Crises of Confidence in Science: With an Application to the Public Goods Game," NBER Working Papers 23335, National Bureau of Economic Research, Inc.
  94. Rita Dias Pereira & Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius A. Rietveld & Kevin Thom, 2022. "Gene-Environment Interplay in the Social Sciences," Papers 2203.02198, arXiv.org, revised Aug 2022.
  95. Nosek, Brian A. & Ebersole, Charles R. & DeHaven, Alexander Carl & Mellor, David Thomas, 2018. "The Preregistration Revolution," OSF Preprints 2dxu5, Center for Open Science.
  96. Fernando Hoces de la Guardia & Sean Grant & Edward Miguel, 2021. "A framework for open policy analysis," Science and Public Policy, Oxford University Press, vol. 48(2), pages 154-163.
  97. Palash Bera & Andrew Burton-Jones & Yair Wand, 2014. "Research Note ---How Semantics and Pragmatics Interact in Understanding Conceptual Models," Information Systems Research, INFORMS, vol. 25(2), pages 401-419, June.
  98. Antonio Salas & Laura Fachal & Sonia Marcos-Alonso & Ana Vega & Federico Martinón-Torres & Grupo de investigación ESIGEM (Estudio Sobre la Influencia Genética en la Enfermedad Meningocócica) ¶, 2009. "Investigating the Role of Mitochondrial Haplogroups in Genetic Predisposition to Meningococcal Disease," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-8, December.
  99. Richard A. Bettis & Constance E. Helfat & J. Myles Shaver & Richard A. Bettis & Constance E. Helfat & J. Myles Shaver, 2016. "The necessity, logic, and forms of replication," Strategic Management Journal, Wiley Blackwell, vol. 37(11), pages 2193-2203, November.
  100. Leonhard Held, 2020. "A new standard for the analysis and design of replication studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 431-448, February.
  101. Emilija Stojmenova Duh & Andrej Duh & Uroš Droftina & Tim Kos & Urban Duh & Tanja Simonič Korošak & Dean Korošak, 2019. "Publish-and-Flourish: Using Blockchain Platform to Enable Cooperative Scholarly Communication," Publications, MDPI, vol. 7(2), pages 1-15, May.
  102. Nazila Alinaghi & W. Robert Reed, 2021. "Taxes and Economic Growth in OECD Countries: A Meta-analysis," Public Finance Review, , vol. 49(1), pages 3-40, January.
  103. Bartmann, Flavio, 2019. "Plus ça change, plus c’est la même chose," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 59(6), December.
  104. Denis Fougère & Nicolas Jacquemet, 2019. "Causal Inference and Impact Evaluation," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 181-200.
  105. Fernández, Arturo J. & Correa-Álvarez, Cristian D. & Pericchi, Luis R., 2020. "Balancing producer and consumer risks in optimal attribute testing: A unified Bayesian/Frequentist design," European Journal of Operational Research, Elsevier, vol. 286(2), pages 576-587.
  106. Eduard Krkoska & Klaus Reiner Schenk-Hoppé, 2019. "Herding in Smart-Beta Investment Products," JRFM, MDPI, vol. 12(1), pages 1-14, March.
  107. Jelte M Wicherts & Marjan Bakker & Dylan Molenaar, 2011. "Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-7, November.
  108. Valentine, Kathrene D & Buchanan, Erin Michelle & Scofield, John E. & Beauchamp, Marshall T., 2017. "Beyond p-values: Utilizing Multiple Estimates to Evaluate Evidence," OSF Preprints 9hp7y, Center for Open Science.
  109. Thomas Mayer, 2009. "Honesty and Integrity in Economics," Working Papers 160, University of California, Davis, Department of Economics.
  110. Martin Paldam, 2013. "Regression Costs Fall, Mining Ratios Rise, Publication Bias Looms, and Techniques Get Fancier: Reflections on Some Trends in Empirical Macroeconomics," Econ Journal Watch, Econ Journal Watch, vol. 10(2), pages 136-156, May.
  111. Anton, Roman, 2014. "Sustainable Intrapreneurship - The GSI Concept and Strategy - Unfolding Competitive Advantage via Fair Entrepreneurship," MPRA Paper 69713, University Library of Munich, Germany, revised 01 Feb 2015.
  112. Louis Anthony (Tony) Cox, 2018. "Ten Great Ideas About Chance by Persi Diaconis and Brian Skyrms (Princeton University Press, 2018)," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2497-2501, November.
  113. Anderson, Richard G., 2017. "Should you choose to do so...: A replication paradigm," Economics Discussion Papers 2017-79, Kiel Institute for the World Economy (IfW Kiel).
  114. Lynch, John G. & Bradlow, Eric T. & Huber, Joel C. & Lehmann, Donald R., 2015. "Reflections on the replication corner: In praise of conceptual replications," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 333-342.
  115. Kaivanto, Kim & Kwon, Winston, 2015. "The Precautionary Principle as a Heuristic Patch," MPRA Paper 67036, University Library of Munich, Germany.
  116. W. Robert Reed, 2018. "A Primer on the ‘Reproducibility Crisis’ and Ways to Fix It," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 51(2), pages 286-300, June.
  117. Kimmo Eriksson & Brent Simpson, 2013. "Editorial Decisions May Perpetuate Belief in Invalid Research Findings," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-6, September.
  118. Qianwei Ying & Tahir Yousaf & Qurat ul Ain & Yasmeen Akhtar & Muhammad Shahid Rasheed, 2019. "Stock Investment and Excess Returns: A Critical Review in the Light of the Efficient Market Hypothesis," JRFM, MDPI, vol. 12(2), pages 1-22, June.
  119. Leonid Hanin, 2021. "Cavalier Use of Inferential Statistics Is a Major Source of False and Irreproducible Scientific Findings," Mathematics, MDPI, vol. 9(6), pages 1-13, March.
  120. Kraft-Todd, Gordon T. & Rand, David G., 2021. "Practice what you preach: Credibility-enhancing displays and the growth of open science," Organizational Behavior and Human Decision Processes, Elsevier, vol. 164(C), pages 1-10.
  121. Burkhard C. Schipper, 2015. "Sex Hormones and Competitive Bidding," Management Science, INFORMS, vol. 61(2), pages 249-266, February.
  122. Uwe Hassler & Marc‐Oliver Pohle, 2022. "Unlucky Number 13? Manipulating Evidence Subject to Snooping," International Statistical Review, International Statistical Institute, vol. 90(2), pages 397-410, August.
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