Interpretation of commonly used statistical regression models

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A review of some regression models commonly used in respiratory health applications is provided in this article. Simple linear regression, multiple linear regression, logistic regression and ordinal logistic regression are considered. The focus of this article is on the interpretation of the regression coefficients of each model, which are illustrated through the application of these models to a respiratory health research study.
Original languageEnglish
Pages (from-to)14 - 21
Number of pages8
Issue number1
Publication statusPublished - 2014

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