دورية أكاديمية

Learning Through Chain Event Graphs: The Role of Maternal Factors in Childhood Type 1 Diabetes.

التفاصيل البيبلوغرافية
العنوان: Learning Through Chain Event Graphs: The Role of Maternal Factors in Childhood Type 1 Diabetes.
المؤلفون: Keeble, Claire1 c.m.keeble@leeds.ac.uk, Thwaites, Peter Adam2, Baxter, Paul David1, Barber, Stuart2, Parslow, Roger Charles1, Law, Graham Richard1
المصدر: American Journal of Epidemiology. 11/15/2017, Vol. 186 Issue 10, p1204-1208. 5p.
مصطلحات موضوعية: *AMNIOCENTESIS, *CESAREAN section, *COMMUNICATION, *TYPE 1 diabetes, *LEARNING, *MOTHERHOOD, *PROBABILITY theory, *RH factor, *CASE-control method, *HEALTH literacy
مصطلحات جغرافية: UNITED Kingdom
مستخلص: Chain event graphs (CEGs) are a graphical representation of a statistical model derived from event trees. They have previously been applied to cohort studies but not to case-control studies. In this paper, we apply the CEG framework to a Yorkshire, United Kingdom, case-control study of childhood type 1 diabetes (1993-1994) in order to examine 4 exposure variables associated with the mother, 3 of which are fully observed (her school-leaving-age, amniocenteses during pregnancy, and delivery type) and 1 with missing values (her rhesus factor), while incorporating previous type 1 diabetes knowledge. We conclude that the unknown rhesus factor values were likely to be missing not at random and were mainly rhesus-positive. The mother's school-leaving-age and rhesus factor were not associated with the diabetes status of the child, whereas having at least 1 amniocentesis procedure and, to a lesser extent, birth by cesarean delivery were associated; the combination of both procedures further increased the probability of diabetes. This application of CEGs to case-control data allows for the inclusion of missing data and prior knowledge, while investigating associations in the data. Communication of the analysis with the clinical expert is more straightforward than with traditional modeling, and this approach can be applied retrospectively or when assumptions for traditional analyses are not held. [ABSTRACT FROM AUTHOR]
قاعدة البيانات: Academic Search Index
الوصف
تدمد:00029262
DOI:10.1093/aje/kwx171