Modelling memory decay after injuries using household survey data from Khartoum State, Sudan

Background Injuries represent an important cause of morbidity and mortality worldwide. In retrospective epidemiological studies, estimated rates of reported injuries often decline considerably when information is included from periods more than a few months before the data collection. Such low rates...

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Bibliographic Details
Published in:	BMC medical research methodology Vol. 18; no. 1; pp. 58 - 11
Main Authors:	Heuch, Ivar, Abdalla, Safa, El Tayeb, Sally
Format:	Journal Article
Language:	English
Published:	London BioMed Central 20.06.2018 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Complications and side effects Data analysis Data collection Epidemiology Fires Forgetting Health Sciences Households Injuries Injury Interviews Medicine Medicine & Public Health Memory decay Memory recall Older workers Polls & surveys Rate estimation Recall Research Article Retrospective study Risk factors Statistical Theory and Methods statistics and modelling Statistics for Life Sciences Survival analysis Theory of Medicine/Bioethics Underreporting Sudan New York Underreporting Rate estimation Memory decay Injury Effect modification Retrospective study Memory recall
ISSN:	1471-2288, 1471-2288
Online Access:	Get full text
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