Evaluation of Indian Prediction Models for Lung Function Parameters: A Statistical Approach.
Abstract
Background: Interpretation of lung function test parameters is usually based on comparisons of data with reference (predicted) values based on healthy subjects. Predicted values are obtained from studies of “normal” or “healthy” subjects with similar anthropometric and ethnic characteristics. Regression models are generally used to obtain the reference values from measurements observed in a representative sample of healthy subjects. null...
Paper Details
Title
Evaluation of Indian Prediction Models for Lung Function Parameters: A Statistical Approach.
Published Date
Mar 1, 2019
Journal
Volume
85
Issue
1
Pages
21
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History