@article{157b32a470f74bf3afa506d083997f97,
title = "A Comparison of Rule-based Analysis with Regression Methods in Understanding the Risk Factors for Study Withdrawal in a Pediatric Study",
abstract = "Regression models are extensively used in many epidemiological studies to understand the linkage between specific outcomes of interest and their risk factors. However, regression models in general examine the average effects of the risk factors and ignore subgroups with different risk profiles. As a result, interventions are often geared towards the average member of the population, without consideration of the special health needs of different subgroups within the population. This paper demonstrates the value of using rule-based analysis methods that can identify subgroups with heterogeneous risk profiles in a population without imposing assumptions on the subgroups or method. The rules define the risk pattern of subsets of individuals by not only considering the interactions between the risk factors but also their ranges. We compared the rule-based analysis results with the results from a logistic regression model in The Environmental Determinants of Diabetes in the Young (TEDDY) study. Both methods detected a similar suite of risk factors, but the rule-based analysis was superior at detecting multiple interactions between the risk factors that characterize the subgroups. A further investigation of the particular characteristics of each subgroup may detect the special health needs of the subgroup and lead to tailored interventions.",
author = "{TEDDY study group} and Mona Haghighi and Johnson, {Suzanne Bennett} and Xiaoning Qian and Lynch, {Kristian F.} and Kendra Vehik and Shuai Huang and Marian Rewers and Katherine Barriga and Judith Baxter and George Eisenbarth and Nicole Frank and Patricia Gesualdo and Michelle Hoffman and Jill Norris and Lisa Ide and Jessie Robinson and Kathleen Waugh and She, {Jin Xiong} and Desmond Schatz and Jin-Xiong She and Leigh Steed and Angela Choate and Katherine Silvis and Meena Shankar and Huang, {Yi Hua} and Ping Yang and Wang, {Hong Jie} and Jessica Leggett and Kim English and Richard McIndoe and Angela Dequesada and McIndoe, {Richard A} and Anderson, {Stephen W.} and Ziegler, {Anette G.} and Heike Boerschmann and Ezio Bonifacio and Melanie Bunk and Johannes F{\"o}rsch and Lydia Henneberger and Michael Hummel and Sandra Hummel and Gesa Joslowski and Mathilde Kersting and Annette Knopff and Nadja Kocher and Sibylle Koletzko and Stephanie Krause and Claudia Lauber and Ulrike Mollenhauer and Claudia Peplow",
note = "Funding Information: This work was funded by U01 DK63829, U01 DK63861, U01 DK63821, U01 DK63865, U01 DK63863, U01 DK63836, U01 DK63790, UC4 DK63829, UC4 DK63861, UC4 DK63821, UC4 DK63865, UC4 DK63863, UC4 DK63836, UC4 DK95300, and UC4 DK100238, and Contract No. HHSN267200700014C from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of Allergy and Infectious Diseases (NIAID), National Institute of Child Health and Human Development (NICHD), National Institute of Environmental Health Sciences (NIEHS), Juvenile Diabetes Research Foundation (JDRF), and Centers for Disease Control and Prevention (CDC). This work supported in part by the NIH/NCATS Clinical and Translational Science Awards to the University of Florida (UL1 TR000064) and the University of Colorado (UL1 TR001082). The authors thank the funding for this project provided by JDRF (1-PNF-2014-151-A-V). Publisher Copyright: {\textcopyright} The Author(s) 2016.",
year = "2016",
month = aug,
day = "26",
doi = "10.1038/srep30828",
language = "English (US)",
volume = "6",
journal = "Scientific reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
}
