The importance of unknows in Epidemiologic studies

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Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Henderson, Thomas C.
Other Author Janik, Daniel S.; Lyon, John L.; Sharp, Ed; Jung, August L.
Title The importance of unknows in Epidemiologic studies
Date 1985
Description 1. Epidemiologic study data often include omitted/unobtainable responses (unknowns). In most cases, unknowns are eliminated during data-reduction to facilitate analysis. We examined the effect that elimination of unknowns would have on mortality calculations using data on newborns admitted to a newborn intensive care unit (NICU). 2. Data were divided into unknown (omitted/unobtainable), abnormal and normal response groups. Forty-three factors with at least four unknown responses recorded during 1984 were selected for analysis. NICU mortality (number of NICU deaths per 100 NICU admissions) was selected as the outcome indicator. In order to quantify the effects of eliminating unknowns, NICU mortality rate ratios (NMRR) were calculated, by factor, for abnormals, normals and knowns (abnormals and normals) both without and with knowns.
Type Text
Publisher University of Utah
First Page 85
Last Page 116
Subject Unknowns; Mortality calculations
Subject LCSH Newborn infants -- Statistics; Statistics -- Data processing
Language eng
Bibliographic Citation Janik, D. S., Henderson, T. C., Lyon, J. L., Sharp, E., & Jung, A. L. (1985). The importance of unknows in epidemiologic studies. UUCS-85-116.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 6,080,553 bytes
Identifier ir-main,16042
ARK ark:/87278/s6xs6crh
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2015-04-27
ID 704616
Reference URL https://collections.lib.utah.edu/ark:/87278/s6xs6crh
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