PL EN


Preferences help
enabled [disable] Abstract
Number of results
- |
Article title

Nonparametric modeling of medical scheme data

Content
Title variants
Languages of publication
PL
Abstracts
PL
The goal of this paper is to apply Generalized Additive Models to medical scheme data. The flexibility of the nonparametric approach is demonstrated based on a real-life empirical example that seeks to model hypertension and the interplay of determinants, such as physiological measurements, medical attributes, demographic and socioeconomic characteristics in predicting blood pressure. The assessment of nonlinear patterns in the response-predictor relationship and the strength of this association are investigated. The extended Generalized Additive Models allow for modeling not only location and scale, but also other distribution parameters, such as kurtosis and skewness
Publisher
Year
-
Physical description
Dates
online
2015-04-28
Contributors
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.ojs-nameId-6e3e8ea9-5a94-37a7-828b-e6cd5da23db6-year-2015-article-1994
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.