| 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 | |
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【 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 |
|---|---|---|---|
| RO202307140004025ZK.pdf | 193KB |
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