J. Parner

Statistics and Probability · 2004

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 9 citations into it; #4,693 of 12,932 by trust here, #7,914 by citations
• Causal Inference & Discovery — 8 citations into it

Whom J. Parner trusts overall

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

1. Donald B. Rubin
2. Paul Holland
3. A. P. Dawid
4. James M. Robins
5. Judea Pearl
6. Paul R. Rosenbaum

Who trusts J. Parner overall

1. Peter F. Schulam
2. Vanessa Didelez
3. Suchi Saria
4. Judea Pearl

Papers from J. Parner's perspective

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

1. [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
2. Statistics and Causal Inference
3. The central role of the propensity score in observational studies for causal effects
4. Estimating causal effects of treatments in randomized and nonrandomized studies.
5. Bayesian Inference for Causal Effects: The Role of Randomization
6. Causal Inference without Counterfactuals
7. Causal diagrams for empirical research
8. Causation, prediction, and search
9. Influence Diagrams for Causal Modelling and Inference
10. Statistical Methods for Research Workers

Their papers

• Causal Reasoning from Longitudinal Data * (2004) — 77 citations