Stephen R. Cole

Statistics and Probability · 2000–2017

A researcher in the Science corpus: 17 papers; trusts 13 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 81 citations into it; #896 of 12,932 by trust here, #682 by citations
• Causal Inference & Discovery — 27 citations into it
• Economics and Econometrics — 19 citations into it; #16,289 of 23,481 by trust here, #13,168 by citations
• Anatomy — 7 citations into it
• Control and Systems Engineering — 7 citations into it
• Rheumatology — 7 citations into it

Whom Stephen R. Cole trusts overall

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

1. James M. Robins
2. Miguel A. Hern'an
3. Donald B. Rubin
4. Sander Greenland
5. Babette A. Brumback
6. Judea Pearl
7. C. Frangakis
8. S. Hernández-Díaz
9. Bradley Efron
10. Tyler J. VanderWeele

Who trusts Stephen R. Cole overall

1. Peter C. Austin
2. José R. Zubizarreta
3. Kosuke Imai
4. W. M. V. D. Wal
5. Elizabeth Tipton
6. Irina Degtiar
7. Elizabeth A. Stuart
8. Elias Bareinboim
9. Judea Pearl
10. D. Westreich

Papers from Stephen R. Cole's perspective

Ordered by how strongly the researchers Stephen R. Cole 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. Comment on "Causal inference without counterfactuals," by Dawid AP
3. Generalizing evidence from randomized clinical trials to target populations: The ACTG 320 trial.
4. Estimating causal effects from epidemiological data (Journal of Epidemiology and Community Health)
5. Estimating causal effects of treatments in randomized and nonrandomized studies.
6. Statistics and Causal Inference
7. Observational Studies
8. Causal Inference from Complex Longitudinal Data
9. On causal inference in the presence of interference (Statistical Methods in Medical Research)
10. Instruments for Causal Inference: An Epidemiologist's Dream?

Their papers

• Generalizing evidence from randomized clinical trials to target populations: The ACTG 320 trial. (2010) — 522 citations
• The use of propensity scores to assess the generalizability of results from randomized trials (2011) — 550 citations
• Constructing inverse probability weights for marginal structural models. (2008) — 2,645 citations
• Adjusted survival curves with inverse probability weights (2004) — 790 citations
• Overadjustment Bias and Unnecessary Adjustment in Epidemiologic Studies (2009) — 1,886 citations
• All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework. (2015) — 77 citations
• The consistency statement in causal inference: a definition or an assumption? (2009) — 437 citations
• Illustrating bias due to conditioning on a collider. (2010) — 791 citations
• Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach. (2006) — 677 citations
• Estimating the effects of multiple time-varying exposures using joint marginal structural models: alcohol consumption, injection drug use, and HIV acquisition (2012) — 41 citations
• Time-modified confounding. (2009) — 70 citations
• An introduction to g methods. (2016) — 339 citations
• Transportability of Trial Results Using Inverse Odds of Sampling Weights. (2017) — 298 citations
• Competing risk regression models for epidemiologic data. (2009) — 1,283 citations
• Antiretroviral therapy and the prevalence and incidence of diabetes mellitus in the multicenter AIDS cohort study. (2005) — 850 citations
• Impact of HIV infection and HAART on serum lipids in men. (2003) — 693 citations
• Fruit and vegetable intake and risk of cardiovascular disease: the Women's Health Study. (2000) — 989 citations