J. Brunner

Statistics and Probability · with Austin · 2009–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 15 citations into it
• Management Science and Operations Research — 5 citations into it

Whom J. Brunner trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stan Lipovetsky
2. Simon J. Sheather
3. Alexander Kukush
4. Uri Simonsohn
5. Zoe Fewell
6. Adrienne W. Kemp
7. R. Rosenthal
8. J. Keith Ord
9. Leif D. Nelson
10. John P. A. Ioannidis

Who trusts J. Brunner overall

1. U. Knief

Papers from J. Brunner's perspective

Ordered by how strongly the researchers J. Brunner trusts endorse each paper. Same corpus, a different order for every researcher.

1. Why Most Discovered True Associations Are Inflated (Epidemiology)
2. Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling (Psychology Science)
3. The file drawer problem and tolerance for null results
4. Measurement Error in Nonlinear Models: A Modern Perspective, 2nd edition by R. J. Carroll, D. Ruppert, L. A. Stefansky, and C. M. Crainiceanu
5. Measurement error in nonlinear models: a modern perspective
6. Adjusting for Publication Bias in Meta-Analysis (Perspectives on Psychological Science)
7. The Logic of Scientific Discovery
8. Generalized Latent Variable Modeling: Multilevel,Longitudinal, and Structural Equation Models (Technometrics)
9. Density Estimation
10. Kendall's Advanced Theory of Statistics.

Their papers

• Estimating Population Mean Power Under Conditions of Heterogeneity and Selection for Significance (2020) — 51 citations
• Inflation of Type I error rate in multiple regression when independent variables are measured with error (2009) — 61 citations