Ulka B. Campbell, Ph.D.
Affiliations: | 2005 | Columbia University, New York, NY |
Area:
Public HealthGoogle:
"Ulka Campbell"Cross-listing: Epi Tree
Parents
Sign in to add mentor| Sharon Schwartz | grad student | 2005 | Columbia (Epi Tree) | |
| (It looks like a confounder and acts like a confounder...but does it confound? An analysis of bias from confounders and control for colliders.) | ||||
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Publications
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| Campbell UB, Honig N, Gatto NM. (2023) 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 |
| Gatto NM, Vititoe SE, Rubinstein E, et al. (2023) 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 |
| Gatto NM, Campbell UB, Rubinstein E, et al. (2022) The Structured Process to Identify Fit-For-Purpose Data: A Data Feasibility Assessment Framework. Clinical Pharmacology and Therapeutics. 111: 122-134 |
| Gatto NM, Reynolds RF, Campbell UB. (2019) 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 |
| Schwartz S, Gatto NM, Campbell UB. (2017) Heeding the call for less casual causal inferences: the utility of realized (quantitative) causal effects. Annals of Epidemiology. 27: 402-405 |
| Schwartz S, Gatto NM, Campbell UB. (2016) Causal identification: a charge of epidemiology in danger of marginalization. Annals of Epidemiology |
| Schwartz S, Prins SJ, Campbell UB, et al. (2015) Is the "well-defined intervention assumption" politically conservative? Social Science & Medicine (1982) |
| Schwartz S, Campbell UB, Gatto NM, et al. (2015) Toward a clarification of the taxonomy of "bias" in epidemiology textbooks. Epidemiology (Cambridge, Mass.). 26: 216-22 |
| Gatto NM, Campbell UB, Schwartz S. (2014) The authors respond. Epidemiology (Cambridge, Mass.). 25: 619-20 |
| Gatto NM, Campbell UB, Schwartz S. (2014) An organizational schema for epidemiologic causal effects. Epidemiology (Cambridge, Mass.). 25: 88-97 |