S. Morgan
Education · with Winship · 2008–2020
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Education — 13 citations into it; #2,739 of 11,309 by trust here, #5,825 by citations
- Statistics and Probability — 13 citations into it; #1,832 of 12,932 by trust here, #1,382 by citations
- Sociology and Political Science — 8 citations into it; #21,257 of 22,756 by trust here, #20,871 by citations
- Economics and Econometrics — 7 citations into it; #22,355 of 23,481 by trust here, #22,128 by citations
- Gender Studies — 7 citations into it
- Causal Inference & Discovery — 5 citations into it
Whom S. Morgan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Guido W. Imbens
- James J. Heckman
- Jennie E. Brand
- Roderick J. A. Little
- Daniel F McCaffrey
- Joshua D. Angrist
- C. Halaby
- Paul R. Rosenbaum
- Michael E. Sobel
Who trusts S. Morgan overall
- Peter C. Austin
- Mingxiang Li
- Benjamin Cornwell
- Paul A. Attewell
- Matthew Desmond
- A. Wit
- Judea Pearl
- Elias Bareinboim
- Ruocheng Guo
- Kenneth A. Frank
Papers from S. Morgan's perspective
Ordered by how strongly the researchers S. Morgan trusts endorse each paper. Same corpus, a different order for every researcher.
- Longitudinal Analysis of Labor Market Data.
- The central role of the propensity score in observational studies for causal effects
- Statistics and Causal Inference
- Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- The Role of the Propensity Score in Estimating Dose-Response Functions
- Observational Studies
- Unified Methods for Censored Longitudinal Data and Causality
- [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
- Propensity score estimation with boosted regression for evaluating causal effects in observational studies.
Their papers
- Counterfactuals and Causal Inference by Stephen L. Morgan (2014) — 1,477 citations
- 6. A Diagnostic Routine for the Detection of Consequential Heterogeneity of Causal Effects (2008) — 198 citations
- Models of College Entry in the United States and the Challenges of Estimating Primary and Secondary Effects (2012) — 51 citations
- Pipeline Dreams: Occupational Plans and Gender Differences in STEM Major Persistence and Completion (2020) — 92 citations
- Instrumental Variables Regression (2014) — 140 citations