3.6 Collinearity in R: Checking For Collinearity In R

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  • Опубликовано: 21 окт 2024
  • In this video, I present an example where we can identify two variables that are clearly collinear. We examine the effect that collinear variables can have on the model, the model coefficients, and the coefficients standard errors.
    These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID.
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Комментарии • 4

  • @inVINCEble1991
    @inVINCEble1991 3 года назад

    Amazing lectures, keep up the good work prof. Marin. Is the dataset shown in the video available for download?

  • @surenjavchimed9581
    @surenjavchimed9581 3 года назад

    Can we use this approach to Cox regression? I mean we calculate standard error for every covariates in univariable analysis and then calculate standard error in multivariable analysis and check how much standard error deflate. Hope you reply to me. Thanks.

  • @atharvigupta4250
    @atharvigupta4250 7 месяцев назад

    what about variables that do not of numerical values. eg country

  • @chiragdhiman181
    @chiragdhiman181 3 года назад

    Where do i find this dataset?