Selected article for: "backward stepwise selection and stepwise selection"

Author: Adrian Egli; Nina Goldman; Nicola F. Müller; Myrta Brunner; Daniel Wüthrich; Sarah Tschudin-Sutter; Emma Hodcroft; Richard Neher; Claudia Saalfrank; James Hadfield; Trevor Bedford; Mohammedyaseen Syedbasha; Thomas Vogel; Noémie Augustin; Jan Bauer; Nadine Sailer; Nadezhda Amar-Sliwa; Daniela Lang; Helena M.B. Seth-Smith; Annette Blaich; Yvonne Hollenstein; Olivier Dubuis; Michael Nägele; Andreas Buser; Christian H. Nickel; Nicole Ritz; Andreas Zeller; Tanja Stadler; Manuel Battegay; Rita Schneider-Sliwa
Title: High-resolution influenza mapping of a city reveals socioeconomic determinants of transmission within and between urban quarters
  • Document date: 2020_4_4
  • ID: n57hoty4_39
    Snippet: Relative risks for influenza-like illness and influenza vaccination were estimated by uni-and 395 multivariable Poisson regression with robust error variance. To deal with possible confounding, 396 all variables found to differ significantly in univariable analyses between participants with and 397 without ILI and with and without influenza vaccination, respectively, were included in the 398 multivariable generalized linear models. A Bonferroni-a.....
    Document: Relative risks for influenza-like illness and influenza vaccination were estimated by uni-and 395 multivariable Poisson regression with robust error variance. To deal with possible confounding, 396 all variables found to differ significantly in univariable analyses between participants with and 397 without ILI and with and without influenza vaccination, respectively, were included in the 398 multivariable generalized linear models. A Bonferroni-adjusted p-value threshold was applied to 399 select variables for inclusion into the multivariable models. Poisson regression models using 400 stepwise forward and backward selection were applied to identify variables independently 401 associated with both primary outcomes.

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