J. Heisig

Statistics and Probability · 2011–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 25 citations into it
• Sociology and Political Science — 21 citations into it; #12,412 of 22,756 by trust here, #19,300 by citations
• Gender Studies — 16 citations into it; #2,513 of 4,924 by trust here, #4,260 by citations
• Political Science and International Relations — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Finance — 6 citations into it

Whom J. Heisig trusts overall

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

1. Sanjiv Gupta
2. Sophia Rabe-Hesketh
3. A. Skrondal
4. M. Bittman
5. Ioannis Kosmidis
6. Alexandra Kuznetsova
7. T. Greenstein
8. Scott Coltrane
9. S. Okin
10. Christopher H. Achen

Who trusts J. Heisig overall

1. Judith K. Treas
2. Natalie Nitsche

Papers from J. Heisig's perspective

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

1. Multilevel and Longitudinal Modeling Using Stata
2. How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches
3. Data Analysis Using Regression and Multilevel/Hierarchical Models
4. Bias reduction in exponential family nonlinear models
5. A Solution to Separation in Binary Response Models (Political Analysis)
6. Understanding AIC and BIC in Model Selection
7. Changing Rhythms of American Family Life
8. When Does Gender Trump Money? Bargaining and Time in Household Work1 (American Journal of Sociology)
9. Fixed and random effects models: making an informed choice (Quality & Quantity: International Journal of Methodology)
10. Publication bias in the social sciences: Unlocking the file drawer (Science)

Their papers

• Who Does More Housework: Rich or Poor? (2011) — 118 citations
• Multilevel Analysis with Few Clusters: Improving Likelihood-Based Methods to Provide Unbiased Estimates and Accurate Inference (2020) — 112 citations
• Why You Should Always Include a Random Slope for the Lower-Level Variable Involved in a Cross-Level Interaction (2019) — 465 citations