Rolf Steyer
Statistics and Probability · 2003–2007
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 19 citations into it
- Management Science and Operations Research — 11 citations into it
- Causal Inference & Discovery — 10 citations into it
- Computer Networks and Communications — 8 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Rolf Steyer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Paul R. Rosenbaum
- T. Little
- Peter M. Bentler
- Paul Holland
- Michael Eid
- R. Devellis
- A. P. Dawid
- W. Shadish
- Craig K. Enders
Who trusts Rolf Steyer overall
Papers from Rolf Steyer's perspective
Ordered by how strongly the researchers Rolf Steyer trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistics and Causal Inference
- Observational Studies
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Causality : Models , Reasoning , and Inference
- Matched Sampling for Causal Effects: The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies
- Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation
- Experimental and Quasi-Experimental Designs for Generalized Causal Inference
- Bayesian Inference for Causal Effects: The Role of Randomization
- INFERENCE AND MISSING DATA
- [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
Their papers
- Analyzing Individual and Average Causal Effects via Structural Equation Models (2005) — 66 citations
- Modelling method effects as individual causal effects (2007) — 78 citations
- (Why) Should We Use SEM? Pros and Cons of Structural Equation Modeling (2003) — 250 citations