Nicholas J. Horton
Statistics and Probability · 2001–2016
A researcher in the Science corpus: 11 papers; trusts 27 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 53 citations into it; #2,552 of 12,932 by trust here, #2,309 by citations
- Artificial Intelligence — 15 citations into it; #12,625 of 35,345 by trust here, #17,110 by citations
- Education — 13 citations into it
- Management Science and Operations Research — 5 citations into it
- Sociology and Political Science — 5 citations into it; #1,016 of 22,756 by trust here, #6,886 by citations
Whom Nicholas J. Horton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- James M. Robins
- Geert Molenberghs
- Leo Breiman
- Stephen E. Fienberg
- Stan Lipovetsky
- Sophia Rabe-Hesketh
- Arthur P. Dempster
- J. Singer
- Andrea Rotnitzky
Who trusts Nicholas J. Horton overall
- T. Cooke
- Andrea Romei
- D. Powers
- Daniel Laurison
- Paul Zhang
- U. Liebe
- Kathrin Leuze
- Xia Wang
- Gbemisola Oseni
- C. Zygmont
Papers from Nicholas J. Horton's perspective
Ordered by how strongly the researchers Nicholas J. Horton trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistical Analysis With Missing Data
- Analysis of Incomplete Multivariate Data (Technometrics)
- INFERENCE AND MISSING DATA
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Inference for imputation estimators
- Estimation of Regression Coefficients When Some Regressors are not Always Observed
- Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
- Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
Their papers
- Strategy for intention to treat analysis in randomised trials with missing outcome data (2011) — 818 citations
- Multiple Imputation in Practice (2001) — 558 citations
- Review of Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal (2008) — 1,088 citations
- Telling Data Stories: Essential Dialogues for Comparative Reasoning (2010) — 92 citations
- Much Ado About Nothing (2007) — 479 citations
- Challenges and Opportunities for Statistics and Statistical Education: Looking Back, Looking Forward (2015) — 51 citations
- Conceptual Challenges in Coordinating Theoretical and Data-centered Estimates of Probability (2011) — 56 citations
- Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report 2016 (2016) — 406 citations
- Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum (2015) — 71 citations
- Towards more accessible conceptions of statistical inference (2011) — 126 citations
- Multilevel and Longitudinal Modeling Using Stata (2006) — 934 citations