Michelle Torres

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 12 citations into it
• Sociology and Political Science — 10 citations into it
• Causal Inference & Discovery — 5 citations into it

Whom Michelle Torres trusts overall

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

1. Kosuke Imai

Papers from Michelle Torres's perspective

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

1. Experimental designs for identifying causal mechanisms
2. Identification of Causal effects Using Instrumental Variables
3. The Dangers of Extreme Counterfactuals
4. A Framework for Dynamic Causal Inference in Political Science
5. Marginal Structural Models and Causal Inference in Epidemiology
6. Online Appendix to "Yes, But What's the Mechanism? (Don't Expect an Easy Answer)''
7. Agnostic notes on regression adjustments to experimental data: Reexamining Freedman's critique
8. Cognitive Biases and the Strength of Political Arguments
9. Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects (American Political Science Review)
10. Substituting the End for the Whole: Why Voters Respond Primarily to the Election‐Year Economy

Their papers

• How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do about It (2018) — 699 citations