Year |
Citation |
Score |
2023 |
Campbell UB, Honig N, Gatto NM. SURF: A Screening Tool (for Sponsors) to Evaluate Whether Using Real-World Data to Support an Effectiveness Claim in an FDA Application Has Regulatory Feasibility. Clinical Pharmacology and Therapeutics. 114: 981-993. PMID 37550832 DOI: 10.1002/cpt.3021 |
0.602 |
|
2023 |
Gatto NM, Vititoe SE, Rubinstein E, Reynolds RF, Campbell UB. A Structured Process to Identify Fit-for-Purpose Study Design and Data to Generate Valid and Transparent Real-World Evidence for Regulatory Uses. Clinical Pharmacology and Therapeutics. PMID 36871138 DOI: 10.1002/cpt.2883 |
0.594 |
|
2022 |
Gatto NM, Campbell UB, Rubinstein E, Jaksa A, Mattox P, Mo J, Reynolds RF. The Structured Process to Identify Fit-For-Purpose Data: A Data Feasibility Assessment Framework. Clinical Pharmacology and Therapeutics. 111: 122-134. PMID 34716990 DOI: 10.1002/cpt.2466 |
0.591 |
|
2019 |
Gatto NM, Reynolds RF, Campbell UB. A Structured Pre- and Post-Approval Comparative Study Design Framework to Generate Valid and Transparent Real-World Evidence for Regulatory Decisions. Clinical Pharmacology and Therapeutics. PMID 31025311 DOI: 10.1002/Cpt.1480 |
0.602 |
|
2017 |
Schwartz S, Gatto NM, Campbell UB. Heeding the call for less casual causal inferences: the utility of realized (quantitative) causal effects. Annals of Epidemiology. 27: 402-405. PMID 28641760 DOI: 10.1016/J.Annepidem.2017.05.012 |
0.7 |
|
2016 |
Schwartz S, Gatto NM, Campbell UB. Causal identification: a charge of epidemiology in danger of marginalization. Annals of Epidemiology. PMID 27237595 DOI: 10.1016/J.Annepidem.2016.03.013 |
0.693 |
|
2015 |
Schwartz S, Prins SJ, Campbell UB, Gatto NM. Is the "well-defined intervention assumption" politically conservative? Social Science & Medicine (1982). PMID 26777446 DOI: 10.1016/J.Socscimed.2015.10.054 |
0.673 |
|
2015 |
Schwartz S, Campbell UB, Gatto NM, Gordon K. Toward a clarification of the taxonomy of "bias" in epidemiology textbooks. Epidemiology (Cambridge, Mass.). 26: 216-22. PMID 25536455 DOI: 10.1097/Ede.0000000000000224 |
0.679 |
|
2014 |
Gatto NM, Campbell UB, Schwartz S. The authors respond. Epidemiology (Cambridge, Mass.). 25: 619-20. PMID 24887170 DOI: 10.1097/EDE.0000000000000125 |
0.656 |
|
2014 |
Gatto NM, Campbell UB, Schwartz S. An organizational schema for epidemiologic causal effects. Epidemiology (Cambridge, Mass.). 25: 88-97. PMID 24276524 DOI: 10.1097/Ede.0000000000000005 |
0.718 |
|
2012 |
Schwartz S, Gatto NM, Campbell UB. Extending the sufficient component cause model to describe the Stable Unit Treatment Value Assumption (SUTVA). Epidemiologic Perspectives & Innovations : Ep+I. 9: 3. PMID 22472125 DOI: 10.1186/1742-5573-9-3 |
0.678 |
|
2011 |
Schwartz S, Gatto NM, Campbell UB. Transportability and causal generalization. Epidemiology (Cambridge, Mass.). 22: 745-6. PMID 21811113 DOI: 10.1097/Ede.0B013E3182254B8F |
0.655 |
|
2010 |
Schwartz S, Hafeman D, Campbell U, Gatto N. Author response. Commentary: gilding the black box. International Journal of Epidemiology. 39: 1399-401. PMID 21105265 DOI: 10.1093/Ije/Dyp323 |
0.7 |
|
2010 |
Gatto NM, Campbell UB, Schwartz S. Author's response to Poole, C. Commentary: How Many Are Affected? A Real Limit of Epidemiology. Epidemiologic Perspectives & Innovations : Ep+I. 7: 7. PMID 20796296 DOI: 10.1186/1742-5573-7-7 |
0.693 |
|
2010 |
Gatto NM, Campbell UB. Redundant causation from a sufficient cause perspective. Epidemiologic Perspectives & Innovations : Ep+I. 7: 5. PMID 20678223 DOI: 10.1186/1742-5573-7-5 |
0.599 |
|
2006 |
Campbell U, Gatto N. A Quantitative Appraisal of Confounders and their Imitators American Journal of Epidemiology. 163: S241-S241. DOI: 10.1093/Aje/163.Suppl_11.S241-A |
0.57 |
|
2006 |
Gatto NM, Campbell UB. Now you see it, Now you don't: A Quantitative Assessment of Redundancy American Journal of Epidemiology. 163: S227-S227. DOI: 10.1093/Aje/163.Suppl_11.S227-D |
0.535 |
|
2005 |
Campbell UB, Gatto NM, Schwartz S. Distributional interaction: Interpretational problems when using incidence odds ratios to assess interaction. Epidemiologic Perspectives & Innovations : Ep+I. 2: 1. PMID 15745447 DOI: 10.1186/1742-5573-2-1 |
0.685 |
|
2004 |
Gatto NM, Campbell UB, Rundle AG, Ahsan H. Further development of the case-only design for assessing gene-environment interaction: evaluation of and adjustment for bias. International Journal of Epidemiology. 33: 1014-24. PMID 15358745 DOI: 10.1093/Ije/Dyh306 |
0.622 |
|
2004 |
Gatto N, Campbell U, Reynolds R. Using propensity scores to control for confounding: the influence of causal models on the valdity of effect estimates Annals of Epidemiology. 14: 615. DOI: 10.1016/J.Annepidem.2004.07.064 |
0.624 |
|
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