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American Journal of Epidemiology Advance Access originally published online on January 14, 2008
American Journal of Epidemiology 2008 167(6):641-643; doi:10.1093/aje/kwm368
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American Journal of Epidemiology © The Author 2008. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

Invited Commentary

Invited Commentary: The Use of Imperfect Data—Compromise or Compromising?

Penelope P. Howards

From the Epidemiology Department, Emory University, Atlanta, GA

Correspondence to Dr. Penelope Howards, Epidemiology Department, Emory University, 1518 Clifton Road, NE, Atlanta, GA 30322 (e-mail: penelope.howards{at}emory.edu).

Received for publication October 30, 2007. Accepted for publication November 8, 2007.

Automated databases are appealing resources because they contain detailed data that are relatively accessible, but there are also critical gaps in the data available. Researchers may compromise by trying to fill those gaps with proxy variables, but how appropriate these surrogates are is rarely known. In this issue (Am J Epidemiol 2008;167:630–640), Toh et al. consider the effect of using two algorithms to estimate the timing of medication use during pregnancy in the absence of gestational-age data. Although the delivery-date algorithm has promising sensitivity and specificity, it is true under very specific conditions that seem unlikely to hold generally. Furthermore, it seems difficult to know a priori when those conditions do hold. There are times when using imperfect data is acceptable, but, at other times, the data are too imperfect to be helpful. Automated databases are certainly valuable, but they should be used with caution and where possible should be linked to databases that can fill the critical gaps.

bias (epidemiology); gestational age; medical records systems, computerized; pregnancy outcome


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Related articles in Am. J. Epidemiol.:

Sensitivity and Specificity of Computerized Algorithms to Classify Gestational Periods in the Absence of Information on Date of Conception
Sengwee Toh, Allen A. Mitchell, Martha M. Werler, and Sonia Hernández-Díaz
Am. J. Epidemiol. 2008 167: 633-640. [Abstract] [FREE Full Text]  





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