Below are links to published papers:

  1. Kiser, R., Asher, M., and McShane, B. B. (2008), “Let’s Not Make a Deal: An Empirical Study of Decision Making in Unsuccessful Settlement Negotiations.” Journal of Empirical Legal Studies, 5(3), 551-591. link
  2. McShane, B., Adrian, M., Bradlow, E.T., and Fader, P.S. (2008), “Count Models Based on Weibull Interarrival Times.” Journal of Business and Economic Statistics, 26(3), 369-378. link
  3. Jensen, S.T., McShane, B., and Wyner, A.J. (2009), “Hierarchical Bayesian Modeling of Hitting Performance in Baseball.” Bayesian Analysis, 4(4), 631-652. link
  4. Jensen, S.T., McShane, B., and Wyner, A.J. (2009), “Rejoinder: Hierarchical Bayesian Modeling of Hitting Performance in Baseball.” Bayesian Analysis, 4(4), 669-674. link
  5. McShane, B. (2009), “Exploring a New Method for Classification with Local Time Dependence.” Transactions of the Deming Conference on Applied Statistics. link
  6. Piette, J., Braunstein A., McShane, B. B., and Jensen, S. T. (2010) “A Point-Mass Mixture Random Effects Model for Pitching Metrics.” Journal of Quantitative Analysis in Sports, 6(3), Article 1. link
  7. McShane, B.B., Galante, R.J., Jensen, S. T., Naidoo, N, Pack, A. I., and Wyner, A. J. (2010), “Characterization of the Bout Durations of Sleep and Wakefulness.” Journal of Neuroscience Methods, 193(2), 321-333. link
  8. McShane, B.B. and Wyner, A.J., (2011) “A Statistical Analysis of Multiple Temperature Proxies: Are Reconstructions of Surface Temperatures Over the Last 1000 Years Reliable?”  Annals of Applied Statistics, 5(1), 5-44. link
  9. McShane, B.B. and Wyner, A.J., (2011) “Rejoinder: A Statistical Analysis of Multiple Temperature Proxies: Are Reconstructions of Surface Temperatures Over the Last 1000 Years Reliable?”  Annals of Applied Statistics, 5(1), 99-123. link long.form
  10. McShane, B.B., Braunstein A., Piette, J., and Jensen, S.T. (2011), “A Bayesian Variable Selection Approach to Major League Baseball Hitting Metrics.” Journal of Quantitative Analysis in Sports, 7(4), Article 2. link
  11. McShane, B.B., Galante, R.J., Biber, M.P., Jensen, S.T., Wyner, A.J., and Pack, A.I. (2012), “Assessing REM Sleep in Mice Using Video Data.” Sleep, 35(3), 433-442. link
  12. Naidoo, N., Ferber M., Galante, R.J., McShane, B.B., Hu, J.H., Zimmerman, J., Maislin, G., Cater, J., Wyner, A. J., Worley, P., and Pack, A.I. (2012), “Role of Homer Proteins in the Maintenance of Sleep-Wake States.” PLoS ONE, 7(4): e35174. link
  13. Gal, D.G. and McShane, B.B. (2012), “Can Fighting Small Battles Help Win the War? Evidence from Consumer Debt Management.” Journal of Marketing Research, 49, 487-501. link
  14. McShane, B.B., Watson, O.P., and Baker, T. (2012), “Predicting Securities Fraud Settlements and Amounts: A Hierarchical Bayesian Model of Federal Securities Class Action Lawsuits.” Journal of Empirical Legal Studies, 9(3), 482-510. link
  15. McShane, B.B., Bradlow, E.T., and Berger, J. (2012), “Visual Influence and Social Groups.” Journal of Marketing Research, 49, 854-871. link
  16. McShane, B.B., Jensen, S.T., Wyner, A.J., and Pack, A.I. (2013),  “Statistical Learning with Time Series Dependence: An Application to Scoring Sleep in Mice.” Journal of the American Statistical Association, 108(504), 1147-1162. link
  17. McShane, B.B., Jensen, S.T., Wyner, A.J., and Pack, A.I. (2013),  “Rejoinder: Statistical Learning with Time Series Dependence: An Application to Scoring Sleep in Mice.” Journal of the American Statistical Association, 108(504), 1165-1172. link
  18. Böckenholt, U., and McShane, B.B. (2014), “Comments on: Latent Markov Models: A Review of the General Framework for the Analysis of Longitudinal Data with Covariates.” TEST, 23(3), 469-472. link
  19. McShane, B.B. and Böckenholt, U. (2014), “You Cannot Step Into the Same River Twice: When Power Analyses Are Optimistic.” Perspectives on Psychological Science, 9(6), 612-625. link website
  20. Rucker, D.D., McShane, B.B., and Preacher, K.J. (2015) “A Researcher’s Guide to Regression, Discretization, and Median Splits of Continuous Variables.” Journal of Consumer Psychology, 25(4), 666-678. link
  21. McShane, B.B. and Böckenholt, U. (2016), “Planning Sample Sizes When Effect Sizes Are Uncertain.” Psychological Methods, 21(1), 47-60. link website
  22. McShane, B.B., and Gal, D. (2016), “Blinding Us to the Obvious? The Effect of Statistical Training on the Evaluation of Evidence.” Management Science, 62(6), 1707-1718. link
  23. McShane, B.B., Chen, C., Anderson, E.A., and Simester, D.I. (2016), “Decision Stages and Asymmetries in Regular Retail Price Pass-through.” Marketing Science, 35(4), 619-639. link
  24. McShane, B.B., Böckenholt, U., and Hansen, K.T. (2016), “Adjusting for Publication Bias in Meta-analysis: An Evaluation of Selection Methods and Some Cautionary Notes.” Perspectives on Psychological Science, 11(5), 730-749. link
  25. McShane, B.B. and Böckenholt, U. (2017), “Single Paper Meta-analysis: Benefits for Study Summary, Theory-testing, and Replicability.” Journal of Consumer Research, 43(6), 1048-1063. link website
  26. McShane, B.B. and Gal, D. (2017), “Statistical Significance and the Dichotomization of Evidence.” Journal of the American Statistical Association, 112(519), 885-895. link
  27. McShane, B.B. and Gal, D. (2017), “Rejoinder: Statistical Significance and the Dichotomization of Evidence.” Journal of the American Statistical Association, 112(519), 904-908. link
  28. Leek, J., McShane, B.B., Gelman, A., Colquhoun, D., Nuitjen, M.B., and Goodman, S.N. (2017), “Five Ways to Fix Statistics,” Nature, 551(7682), 557-559. [McShane, B.B., and Gelman, A. (2017), “Abandon Statistical Significance.” Nature, 551(7682), 558.] link
  29. McShane, B.B. and Böckenholt, U. (2018) “Multilevel Multivariate Meta-analysis with Application to Choice Overload.” Psychometrika, 83(1), 255-271. link website
  30. Tackett, J.L. and McShane, B.B. (2018), “Conceptualizing and Evaluating Replication Across Domains of Behavioral Research.” Behavioral and Brain Sciences, 41, e120, 40-41. link
  31. McShane, B.B. and Böckenholt, U. (2018), “Want to Make Behavioural Research More Replicable? Promote Single Paper Meta-analysis.” Significance. 15(6), 38-40. link
  32. McShane, B.B., Tackett, J.L., Böckenholt, U., and Gelman, A. (2019), “Large Scale Replication Projects in Contemporary Psychological Research.” The American Statistician, 73:sup1, 99-105. link
  33. McShane, B.B., Gal, D., Gelman, A., Robert, C., and Tackett, J.L. (2019), “Abandon Statistical Significance.” The American Statistician, 73:sup1, 235-245. link
  34. Amrhein, V., Greenland, S., and McShane, B.B. (2019), “Retire Statistical Significance” (titled online as “Scientists Rise Up Against Statistical Significance”). Nature, 567(7748), 305-307. link
  35. McShane, B.B. and Böckenholt, U. (2019), “Meta-analysis.” Handbook of Research Methods in Consumer Psychology. Ed. Frank R. Kardes, Paul M. Herr, and Nobert Schwarz. New York, NY: Routledge. link
  36. Amrhein, V., Greenland, S., and McShane, B.B. (2019), “Statistical Significance Gives Bias a Free Pass.” European Journal of Clinical Investigation, 48(12), 1-2. link
  37. McShane, B.B. and Böckenholt, U. (2020), “Enriching Meta-analytic Models of Summary Data: A Thought Experiment and Case Study.” Advances in Methods and Practices in Psychological Science, 3(1): 81-93. link
  38. Colling, L.J., Szűcs, D., De Marco, D., Cipora, K., Ulrich, R., Nuerk, H.-C., Soltanlou, M., Bryce, D., Chen, S.-C., Schroeder, P.A., Henare, D.T., Chrystall, C.K., Corballis, P.M., Ansari, D., Goffin, C., Sokolowski, H.M., Hancock, P.J.B., Millen, A.E., Langton, S.R.H., Holmes, K.J., Saviano, M.S., Tummino, T.A., Lindemann, O., Zwaan, R.A., Lukavský, J., Becková, A., Vranka, M.A., Cutini, S., Mammarella, I.C., Mulatti, C., Bell, R., Buchner, A., Mieth, L., Röer, J.P., Klein, E., Huber, S., Moeller, K., Ocampo, B., Lupiáñez, J., Ortiz-Tudela, J., de la Fuente, J., Santiago, J., Ouellet, M., Hubbard, E.M., Toomarian, E.Y., Job, R., Treccani, B., McShane, B.B. (2020), “Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003).” Advances in Methods and Practices in Psychological Science,3(2), 143-162. link
  39. McShane, B.B., Böckenholt, U., and Hansen, K.T. (2020), “Average Power: A Cautionary Note.” Advances in Methods and Practices in Psychological Science, 3(2), 185-199. link
  40. Knight, E.L., McShane, B.B., Kutlikova, H.H., Morales, P.J., Christian, C.B., Harbaugh, W.T., Mayr, U., Ortiz, T.L., Gilbert, K., Ma-Kellams, C., Riečanský I., Watson, N.V., Eisenegger, C., Lamm, C., Mehta, P.H., Carré, J.M. (2020), “Weak and Variable Effects of Exogenous Testosterone on Cognitive Reflection Task Performance in Three Experiments: Commentary on Nave et al. (2017).” Psychological Science, 31(7), 890-897. link
  41. Feinberg, F., Bruch, E., Braun, M., Falk, B.H., Fefferman, N., Feit, E.M., Helveston, J., Larremore, D., McShane, B.B., Patania, A., Small, M.L. (2020), “Choices in Networks: A Research Framework.” Marketing Letters, 31, 349-359. link
  42. McShane, B.B. and Böckenholt, U. (2022) “Meta-analysis of Studies with Multiple Contrasts and Differences in Measurement Scales.” Journal of Consumer Psychology, 32(1), 23-40. link website
  43. McShane, B.B. and Gelman, A. (2022) “Selecting on Statistical Significance and Practical Importance Is Wrong.” Journal of Information Technology. 37(3): 312-315. link
  44. McShane, B.B., Böckenholt, U., and Hansen, K.T. (2022), “Variation and Covariation in Large-scale Replication Projects: An Evaluation of Replicability.” Journal of the American Statistical Association. 117(540): 1605-1621. link
  45. McShane, B.B., Böckenholt, U., and Hansen, K.T. (2022), “Modeling and Learning from Variation and Covariation.” Journal of the American Statistical Association. 117(540): 1627-1630. link
  46. McShane, B.B. and Böckenholt, U. (2023), “Meta-analysis: Assessing Heterogeneity Using Traditional and Contemporary Approaches.” Handbook of Contemporary Consumer Psychology (Second Edition). Ed. Cait Lamberton, Derek Rucker, and Stephen Spiller. link
  47. McShane, B.B. and Böckenholt, U. (2023), “Multilevel Multivariate Meta-analysis Made Easy: An Introduction to MLMVmeta.” Behavior Research Methods. 55: 2367-2386. link
  48. McShane, B.B., Bradlow, E.T., Lynch, Jr. J.G., and Meyer, R.J. (2024), “‘Statistical Significance’ and Statistical Reporting: Moving Beyond Binary.” Journal of Marketing. 88(3): 1-19. link
 
Go To Top »
PageLines Themes