D
David J. Margolis
Researcher at University of Pennsylvania
Publications - 581
Citations - 74527
David J. Margolis is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Population & Atopic dermatitis. The author has an hindex of 97, co-authored 521 publications receiving 62556 citations. Previous affiliations of David J. Margolis include Rutgers University & Harvard University.
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Journal ArticleDOI
Association of pharyngitis with oral antibiotic use for the treatment of acne: a cross-sectional and prospective cohort study.
David J. Margolis,Matthew Fanelli,Eli Kupperman,Maryte Papadopoulos,Joshua P. Metlay,Sharon Xiangwen Xie,Joseph M. DiRienzo,Paul H. Edelstein +7 more
TL;DR: The studies show that that the odds of reporting pharyngitis is more than 3 times baseline in patients receiving Oral antibiotics for acne vs those who are not receiving oral antibiotics, but this finding is not associated with group A streptococcus.
Journal ArticleDOI
The psychometric properties of the psoriasis disability index in United States patients.
Tamar Nijsten,Diane Whalley,Joel M. Gelfand,David J. Margolis,Stephen P. McKenna,Robert S. Stern +5 more
TL;DR: It is suggested that the PDI is not an optimal measure for use in US study populations and the psychometric properties of instruments designed to measure the impact of psoriasis should be tested in populations in which the instrument is to be applied.
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Venous leg ulcers: an analysis of underlying venous disease
TL;DR: Ulcers occurring in this clinical syndrome should be designated as calf pump dysfunction ulcers (CPD ulcers), rather than venous ulcers, because both groups had similar clinical features.
Journal ArticleDOI
Systematic review of atopic dermatitis disease definition in studies using routinely collected health data.
M.P. Dizon,Ashley M. Yu,Ranjeet Singh,Joy Wan,Mary-Margaret Chren,Carsten Flohr,Jonathan I. Silverberg,David J. Margolis,Sinead Langan,Katrina Abuabara +9 more
TL;DR: Methods for identifying AD patients in routinely collected electronic health data differ, and it is unknown how this might affect study results.
Journal ArticleDOI
Statistical characteristics of area under the receiver operating characteristic curve for a simple prognostic model using traditional and bootstrapped approaches
TL;DR: It is shown that for the authors' simple prognostic model a bootstrap z-statistic approach is preferred over the trapezoidal method when comparing the AROCs of two related models, and the maximum likelihood estimation method should not be used with small sample sizes.