Blakeley B. McShane
Statistics and Probability · 2008–2019
A researcher in the Science corpus: 9 papers; trusts 31 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 67 citations into it; #4,248 of 12,932 by trust here, #1,262 by citations
- Experimental and Cognitive Psychology — 25 citations into it
- Artificial Intelligence — 18 citations into it; #32,111 of 35,345 by trust here, #16,471 by citations
- Marketing — 18 citations into it
- Management Science and Operations Research — 14 citations into it
- Sociology and Political Science — 14 citations into it
- Economics and Econometrics — 13 citations into it; #21,117 of 23,481 by trust here, #11,786 by citations
- General Decision Sciences — 13 citations into it
Whom Blakeley B. McShane trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Gelman
- Terri D. Pigott
- L. Hedges
- Daniele Fanelli
- A. Brix
- R. Wasserstein
- K. White
- D. Bem
- T. Stanley
- Richard L. Tweedie
Who trusts Blakeley B. McShane overall
- Rolf A. Zwaan
- Sander Greenland
- Bowen Ruan
- Martin Mende
- M. Sanders
- Evan C. Carter
- Georgi N. Boshnakov
- Robin Nunkoo
- Ulf Böckenholt
- Alexander Etz
Papers from Blakeley B. McShane's perspective
Ordered by how strongly the researchers Blakeley B. McShane trusts endorse each paper. Same corpus, a different order for every researcher.
- The Replication Recipe: What Makes for a Convincing Replication?
- Bayesian data analysis.
- Bayesian measures of model complexity and fit
- The power of statistical tests in meta-analysis. (Psychological methods)
- A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
- The Connection Between Varying Treatment Effects and the Crisis of Unreplicable Research
- Data Analysis Using Regression and Multilevel/Hierarchical Models
- The ASA Statement on p-Values: Context, Process, and Purpose
- Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis (Biometrics)
- Alphabet Soup
Their papers
- Abandon Statistical Significance (2017) — 860 citations
- Statistical Significance and the Dichotomization of Evidence (2017) — 177 citations
- Single Paper Meta-Analysis: Benefits For Study Summary, Theory-Testing, and Replicability (2017) — 396 citations
- Adjusting for Publication Bias in Meta-Analysis (2016) — 388 citations
- Scientists rise up against statistical significance (2019) — 2,466 citations
- Visual Influence and Social Groups (2012) — 87 citations
- A researcher's guide to regression, discretization, and median splits of continuous variables (2015) — 214 citations
- Large-Scale Replication Projects in Contemporary Psychological Research (2017) — 93 citations
- Count Models Based on Weibull Interarrival Times (2008) — 99 citations