M. Sen

Statistics and Probability · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 32 citations into it
• Sociology and Political Science — 29 citations into it
• Causal Inference & Discovery — 16 citations into it
• Economics and Econometrics — 11 citations into it
• Demography — 7 citations into it
• Political Science and International Relations — 7 citations into it
• Gender Studies — 6 citations into it
• Social Psychology — 6 citations into it

Whom M. Sen trusts overall

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

1. Donald B. Rubin
2. D. Pager
3. Kosuke Imai
4. D. James Greiner
5. Paul Holland
6. Joshua D. Angrist
7. James M. Robins
8. Guido W. Imbens
9. I. White
10. Luke Keele

Who trusts M. Sen overall

1. A. Hanna
2. Emily L. Denton
3. Angelina Wang
4. Paul K. Piff
5. Andrew Smart

Papers from M. Sen's perspective

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

1. Estimating causal effects of treatments in randomized and nonrandomized studies.
2. Identification of Causal effects Using Instrumental Variables
3. On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
4. Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
5. Bayesian Inference for Causal Effects: The Role of Randomization
6. [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
7. Statistics and Causal Inference
8. Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments (Political Analysis)
9. Experimental designs for identifying causal mechanisms
10. The central role of the propensity score in observational studies for causal effects

Their papers

• Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects (2016) — 461 citations
• Explaining Preferences from Behavior: A Cognitive Dissonance Approach (2018) — 106 citations
• Race as a Bundle of Sticks: Designs that Estimate Effects of Seemingly Immutable Characteristics (2016)
• Identifying Judicial Empathy: Does Having Daughters Cause Judges to Rule for Women's Issues? (2015) — 197 citations