Blakeley McShane

  • 559 Citations
20082019
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Personal profile

Research Interests

Professor McShane has developed and applied statistical methodology to topics ranging from optimizing internet ad-serving algorithms to forecasting home runs in baseball. His specific research interests include Bayesian hierarchical modeling, statistical learning, and generalized Markov models. More generally, he seeks to develop statistical methods to accommodate the rich and varied data structures encountered in business problems and to use these methods to glean insight about individual behavior so as to test and supplement existing theories.

Education/Academic qualification

Statistics, PhD, The Wharton School, University of Pennsylvania

… → 2010

Statistics, MA, The Wharton School, University of Pennsylvania

… → 2010

Economics, BS, The Wharton School, University of Pennsylvania

… → 2003

Mathematics, MA, University of Pennsylvania

… → 2003

Mathematics, BA, University of Pennsylvania

… → 2003

Research interests

  • Bayesian modeling
  • Data analysis
  • Database marketing
  • Marketing research

Fingerprint Dive into the research topics where Blakeley McShane is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Statistical Significance Mathematics
Meta-Analysis Medicine & Life Sciences
Hierarchical Modeling Mathematics
Bayesian Modeling Mathematics
Statistical Learning Mathematics
Sleep Medicine & Life Sciences
p-Value Mathematics
Markov Model Mathematics

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Research Output 2008 2019

  • 559 Citations
  • 25 Article
  • 6 Comment/debate
  • 2 Chapter
  • 1 Editorial
17 Citations (Scopus)

Abandon Statistical Significance

McShane, B., Gal, D., Gelman, A., Robert, C. & Tackett, J., Mar 29 2019, In : American Statistician. 73, sup1, p. 235-245 11 p.

Research output: Contribution to journalArticle

Open Access
Statistical Significance
p-Value
Social Sciences
Null hypothesis
Paradigm
2 Citations (Scopus)

Large-Scale Replication Projects in Contemporary Psychological Research

McShane, B., Tackett, J., Bockenholt, U. & Gelman, A., Mar 29 2019, In : American Statistician. 73, sup1, p. 99-105 7 p.

Research output: Contribution to journalArticle

Open Access
Replication
Effect Size
Psychological
Vary
Lower bound

Meta-analysis

McShane, B. & Bockenholt, U., Apr 15 2019, Handbook of Research Methods in Consumer Psychology. Taylor and Francis Inc., p. 403-416 14 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Meta-Analysis
Meta-analysis
1 Citation (Scopus)

Conceptualizing and evaluating replication across domains of behavioral research

Tackett, J. & McShane, B., Jan 1 2018, In : The Behavioral and brain sciences. 41, p. e152

Research output: Contribution to journalComment/debate

Behavioral Research
Statistical Models
Psychology
Research
5 Citations (Scopus)

Multilevel Multivariate Meta-analysis with Application to Choice Overload

McShane, B. & Bockenholt, U., Mar 1 2018, In : Psychometrika. 83, 1, p. 255-271 17 p.

Research output: Contribution to journalArticle

Moderators
Overload
Meta-Analysis
Multivariate Analysis
Methodology