Cargando…
A Comparison of Rule-based Analysis with Regression Methods in Understanding the Risk Factors for Study Withdrawal in a Pediatric Study
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...
Autores principales: | Haghighi, Mona, Johnson, Suzanne Bennett, Qian, Xiaoning, Lynch, Kristian F., Vehik, Kendra, Huang, Shuai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5000469/ https://www.ncbi.nlm.nih.gov/pubmed/27561809 http://dx.doi.org/10.1038/srep30828 |
Ejemplares similares
-
Corrigendum: A Comparison of Rule-based Analysis with Regression Methods in Understanding the Risk Factors for Study Withdrawal in a Pediatric Study
por: Haghighi, Mona, et al.
Publicado: (2017) -
A Rule-Based Prognostic Model for Type 1 Diabetes by Identifying and Synthesizing Baseline Profile Patterns
por: Lin, Ying, et al.
Publicado: (2014) -
Participant Experiences in the Environmental Determinants of Diabetes in the Young Study: Common Reasons for Withdrawing
por: Lernmark, Barbro, et al.
Publicado: (2016) -
Feature ranking based on synergy networks to identify prognostic markers in DPT-1
por: Adl, Amin Ahmadi, et al.
Publicado: (2013) -
Why Are C-Section Deliveries Linked to Childhood Type 1 Diabetes?
por: Vehik, Kendra, et al.
Publicado: (2012)