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Title:

A Comparison of Rule-based Analysis with Regression Methods in Understanding the Risk Factors for Study Withdrawal in a Pediatric Study.

Document type:
journal article
Author(s):
Haghighi, Mona; Johnson, Suzanne Bennett; Qian, Xiaoning; Lynch, Kristian F; Vehik, Kendra; Huang, Shuai; TEDDY Study Group; Johnson, Suzanne Bennett; Lynch, Kristian F; Vehik, Kendra; Rewers, Marian; Bautista, Kimberly; Baxter, Judith; Bedoy, Ruth; Morales, Daniel-Felipe; Driscoll, Kimberly; Frohnert, Brigitte I; Gesualdo, Patricia; Hoffman, Michelle; Karban, Rachel; Liu, Edwin; Norris, Jill; Samper-Imaz, Adela; Steck, Andrea; Waugh, Kathleen; Wright, Hali; Sharma, Ashok; Hopkins, Diane; Young,...     »
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 demonst...     »
Journal title abbreviation:
Sci Rep
Year:
2016
Journal volume:
6
Pages contribution:
30828
Language:
eng
Fulltext / DOI:
doi:10.1038/srep30828
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/27561809
TUM Institution:
Kinderklinik und Poliklinik
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