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Predictors of the adults and children who would have the top 5% and 10% of subsequent (2010) costs using quantile regression.

By Mary Charlson (668928), Martin T. Wells (122541), Ralph Ullman (668929), Fionnuala King (668930) and Celia Shmukler (668931)

Abstract

<p>Each model had only a single independent variable controlling for age, gender and mental health diagnosis.</p><p>t indicates the strength of the association and the p value the statistical significance. R<sup>2</sup> is the explained variance, that is, the extent to which the prior year variables predict subsequent year costs; the higher the R<sup>2</sup>, the greater the explanatory or predictive power.</p><p>Predictors of the adults and children who would have the top 5% and 10% of subsequent (2010) costs using quantile regression.</p

Topics: Biological Sciences, Charlson comorbidity index, dcg, comorbidity index, Incur High Future Costs BackgroundReducing health care costs, health care workers, Diagnostic Cost Group, age 45.7 years, year Charlson comorbidity index, nct, Charlson comorbidity score, RelevanceThe comorbidity index
Year: 2014
DOI identifier: 10.1371/journal.pone.0112479.t005
OAI identifier: oai:figshare.com:article/1258497
Provided by: FigShare
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