Andrew Bell

Statistics and Probability · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 34 citations into it; #4,796 of 12,932 by trust here, #3,513 by citations
• Economics and Econometrics — 21 citations into it; #9,784 of 23,481 by trust here, #10,133 by citations
• Sociology and Political Science — 21 citations into it; #15,963 of 22,756 by trust here, #18,468 by citations
• Political Science and International Relations — 12 citations into it; #1,443 of 4,701 by trust here, #1,052 by citations
• Artificial Intelligence — 8 citations into it
• Education — 5 citations into it
• General Health Professions — 5 citations into it
• General Social Sciences — 5 citations into it

Whom Andrew Bell trusts overall

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

1. Jerry A. Hausman
2. Harvey Goldstein
3. William J. Browne
4. Daniel Stegmueller
5. William H. Greene
6. Yang Yang
7. F. Steele
8. James R. Carpenter
9. P. Allison
10. T. Breusch

Who trusts Andrew Bell overall

1. Marina Povitkina
2. Brian W. Jacobs
3. Rebekka Kreling
4. Malcolm Fairbrother
5. Francis L. Huang
6. Alexander W. Schmidt-Catran
7. Richard Kraude
8. Adrian Meier
9. Kosuke Imai
10. Lacey Best-Rowden

Papers from Andrew Bell's perspective

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

1. Multilevel Statistical Models
2. Econometric Analysis of Cross Section and Panel Data
3. REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types
4. Multilevel Statistical Models: Goldstein/Multilevel Statistical Models
5. Generalized Linear Models
6. Bayesian measures of model complexity and fit
7. Analysis of Incomplete Multivariate Data (Technometrics)
8. MCMC Estimation in MLwiN (Version 2.13) Centre for Multilevel Modelling, University of Bristol
9. 2. A Methodological Comparison of Age-Period-Cohort Models: The Intrinsic Estimator and Conventional Generalized Linear Models
10. How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches

Their papers

• Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data* (2014) — 1,496 citations
• Fixed and random effects models: making an informed choice (2018) — 934 citations
• Age, Period and Cohort Processes in Longitudinal and Life Course Analysis: A Multilevel Perspective (2015) — 72 citations