Evaluation of Indian Prediction Models for Lung Function Parameters: A Statistical Approach | Zendy

Ritul Kamal | Zendy; Sheela Misra | Zendy

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Evaluation of Indian Prediction Models for Lung Function Parameters: A Statistical Approach

Author(s) -

Ritul Kamal,

Sheela Misra

Publication year - 2019

Publication title -

annals of global health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.602

H-Index - 66

ISSN - 2214-9996

DOI - 10.5334/aogh.2397

Subject(s) - statistics , checklist , linear regression , context (archaeology) , regression analysis , sample size determination , homoscedasticity , ordinary least squares , regression , mathematics , medicine , heteroscedasticity , psychology , geography , archaeology , cognitive psychology

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.

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