Journal of Biometrics & Biostatistics | |
Explanatory variables | |
article | |
Gholamreza Hessian1  | |
[1] Department of Statistics, Payame Noor University | |
关键词: Binomial regression; | |
来源: Hilaris Publisher | |
【 摘 要 】
Binomial regression is employed to assess therelationship between a binary response variable and otherexplanatory variables. Popular instances of binomial regressioninclude examination of the etiology of adverse health statesemploying a case-control study and development of predictionalgorithms for assessing the danger of adverse health outcomes(e.g., risk of a heart attack). In R, a binomial regression modelcan be fit using the glm() function. In this chapter, we demonstratethe following aspects of binomial regression, with R code,using real data examples: •To highlight the main components ofa binomial model fitting using the glm() function•How toevaluate the modeling assumptions in binomial regression?•Howto relax the assumptions once they are violated.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO202307140004025ZK.pdf | 193KB | download |