Risk analysis research paper

Epidemiology of gestational diabetes mellitus according to IADPSG/WHO 2013 criteria among obese pregnant women in Europe
Aoife M. Egan, Akke Vellinga, Jürgen Harreiter, David Simmons, Gernot Desoye, Rosa Corcoy, Juan M. Adelantado, Roland Devlieger, Andre Van Assche, Sander Galjaard, Peter Damm, Elisabeth R. Mathiesen, Dorte M. Jensen, Liselotte Andersen, Annuziata Lapolla, Maria G. Dalfrà, Alessandra Bertolotto, Urszula Mantaj, Ewa Wender-Ozegowska, Agnieszka Zawiejska, David Hill, Judith G. M. Jelsma, Frank J. Snoek, Christof Worda, Dagmar Bancher-Todesca, Mireille N. M. van Poppel, Alexandra Kautzky-Willer, Fidelma P. Dunne, on behalf of the DALI Core Investigator group

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  • Citation tools Download this article to citation manager Rong Ying , Chen Li , Zhu Tingting , Song Yadong , Yu Miao , Shan Zhilei et al. Egg consumption and risk of coronary heart disease and stroke: dose-response meta-analysis of prospective cohort studies BMJ 2013; 346 :e8539
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    This is one of a set of measures used to assess the accuracy of a diagnostic test (see sensitivity, negative predictive value and positive predictive value). Specificity is the proportion of people without a disease who are correctly identified as not having that disease by the diagnostic test. For example, if a test has a specificity of 95%, this means that it correctly identified 95% of the people who did not have the disease, but that 5% of people without the disease were incorrectly diagnosed as having the disease (these people were ‘false positives’ on the test).

    Risk analysis research paper

    risk analysis research paper

    This is one of a set of measures used to assess the accuracy of a diagnostic test (see sensitivity, negative predictive value and positive predictive value). Specificity is the proportion of people without a disease who are correctly identified as not having that disease by the diagnostic test. For example, if a test has a specificity of 95%, this means that it correctly identified 95% of the people who did not have the disease, but that 5% of people without the disease were incorrectly diagnosed as having the disease (these people were ‘false positives’ on the test).

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