| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8818553 | Preventive Medicine Reports | 2018 | 7 Pages |
Abstract
Our analysis draws on the strengths of two complementary datasets to provide community-level information on children with asthma, and demonstrates the utility of recursive partitioning methods to explore a combination of features that convey asthma severity.
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Authors
Wande O. Benka-Coker, Sara L. Gale, Sylvia J. Brandt, John R. Balmes, Sheryl Magzamen,