Martin Elff

Statistics and Probability · 2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 13 citations into it

Whom Martin Elff trusts overall

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

1. Ioannis Kosmidis
2. Alexandra Kuznetsova
3. Daniel Stegmueller
4. David Firth
5. Christopher Zorn
6. Joseph Hilbe
7. Per Bruun Brockhoff
8. Eric R. Ziegel

Papers from Martin Elff's perspective

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

1. Bias reduction in exponential family nonlinear models
2. A Solution to Separation in Binary Response Models (Political Analysis)
3. Multilevel analysis : an introduction to basic and advanced multilevel modeling
4. How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches
5. Data Analysis Using Regression and Multilevel/Hierarchical Models
6. lmerTest Package: Tests in Linear Mixed Effects Models
7. REML estimation for binary data in GLMMs
8. Generalized Linear Models
9. R: A language and environment for statistical computing.
10. An approximate distribution of estimates of variance components.

Their papers

• mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion (2020) — 76 citations
• Multilevel Analysis with Few Clusters: Improving Likelihood-Based Methods to Provide Unbiased Estimates and Accurate Inference (2020) — 112 citations