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University of Pennsylvania 12th annual conference on statistical issues in clinical trials: Electronic health records in randomized clinical trials-challenges and opportunities (morning panel session).

Publication ,  Journal Article
Esserman, D; Goldstein, BA; Levenson, M; Platt, R; Roe, MT; Zeliadt, S
Published in: Clin Trials
August 2020

Duke Scholars

Published In

Clin Trials

DOI

EISSN

1740-7753

Publication Date

August 2020

Volume

17

Issue

4

Start / End Page

405 / 413

Location

England

Related Subject Headings

  • Universities
  • Statistics as Topic
  • Statistics & Probability
  • Randomized Controlled Trials as Topic
  • Pragmatic Clinical Trials as Topic
  • Pennsylvania
  • Informed Consent
  • Humans
  • Electronic Health Records
  • Data Interpretation, Statistical
 

Citation

APA
Chicago
ICMJE
MLA
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Esserman, D., Goldstein, B. A., Levenson, M., Platt, R., Roe, M. T., & Zeliadt, S. (2020). University of Pennsylvania 12th annual conference on statistical issues in clinical trials: Electronic health records in randomized clinical trials-challenges and opportunities (morning panel session). Clin Trials, 17(4), 405–413. https://doi.org/10.1177/1740774520928607
Esserman, Denise, Benjamin A. Goldstein, Mark Levenson, Richard Platt, Matthew T. Roe, and Steve Zeliadt. “University of Pennsylvania 12th annual conference on statistical issues in clinical trials: Electronic health records in randomized clinical trials-challenges and opportunities (morning panel session).Clin Trials 17, no. 4 (August 2020): 405–13. https://doi.org/10.1177/1740774520928607.
Journal cover image

Published In

Clin Trials

DOI

EISSN

1740-7753

Publication Date

August 2020

Volume

17

Issue

4

Start / End Page

405 / 413

Location

England

Related Subject Headings

  • Universities
  • Statistics as Topic
  • Statistics & Probability
  • Randomized Controlled Trials as Topic
  • Pragmatic Clinical Trials as Topic
  • Pennsylvania
  • Informed Consent
  • Humans
  • Electronic Health Records
  • Data Interpretation, Statistical