Cited by 39Pharmaceutical studies and practicesPharmaceutical Economics and PolicyStatistical Methods in Clinical Trials

The US Food and Drug Administration's Model‐Informed Drug Development Paired Meeting Pilot Program: Early Experience and Impact

Madabushi, Rajanikanth, Benjamin, Jessica M., Grewal, Renmeet, Pacanowski, Michael A., Strauss, David G., Wang, Yaning, Zhu, Hao, Zineh, Issam·2019·Clinical Pharmacology & Therapeutics

Abstract

The authors declared no competing interests for this work.

Integrity signals

Registry

Crossref · 10.1002/cpt.1457

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Authors
Madabushi, R., Benjamin, J. M., Grewal, R., Pacanowski, M. A., Strauss, D. G., Wang, Y., Zhu, H., & Zineh, I.
Affiliations
United States Food and Drug Administration (US)
Corresponding author
Zineh, Issam
Venue
Clinical Pharmacology & Therapeutics
Publisher
Wiley
Published
2019-05-13
Volume
106
Issue
1
Pages
74-78
ISSN
  • 0009-9236 (ISSN-L)
  • 1532-6535
OpenAlex
W2946299830
Cited by
39
References
1
Citations by year
2026: 5 · 2025: 3 · 2024: 8 · 2023: 4 · 2022: 4 · 2021: 9 · 2020: 4 · 2019: 2
FWCI
4.94
Type
journal article
Language
en
Open access
closed
Locations
  • Clinical Pharmacology & Therapeutics (publishedVersion)
  • PubMed (publishedVersion)
Funders
U.S. Food and Drug Administration
Topics
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Keywords
model-informed drug development, pilot project, regulatory science, drug development, regulatory decision-making, clinical pharmacology
MeSH terms
Drug Development, Humans, Product Surveillance, Postmarketing, United States, United States Food and Drug Administration, Drug Approval, Interdisciplinary Communication

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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