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Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study

Overview of attention for article published in Trials, September 2019
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63 X users

Citations

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Readers on

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33 Mendeley
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Title
Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study
Published in
Trials, September 2019
DOI 10.1186/s13063-019-3577-z
Pubmed ID
Authors

Jessica G. Young, Rajet Vatsa, Eleanor J. Murray, Miguel A. Hernán

X Demographics

X Demographics

The data shown below were collected from the profiles of 63 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 33%
Professor 3 9%
Student > Postgraduate 3 9%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 4 12%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 14 42%
Nursing and Health Professions 3 9%
Mathematics 2 6%
Economics, Econometrics and Finance 2 6%
Agricultural and Biological Sciences 1 3%
Other 6 18%
Unknown 5 15%