4.6 Model Building and Variable Selection: Validating Predictive Models
This video outlines the general principle of model validation, and gives a brief introduction to a few different validation methods. The intention is to provide an intro to the topic, with further reading left for those who wish to explore the topics more deeply.
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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►Getting Started with R using R Studio (Series 1): https://bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R using R Studio (Series 2): https://bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): https://bit.ly/2AT3wpI
►Bivariate analysis in R using R Studio (Series 4): https://bit.ly/2SXvcRi
►Linear Regression in R using R Studio (Series 5): https://bit.ly/1iytAtm
►ANOVA Statistics and ANOVA with R using R Studio : https://bit.ly/2zBwjgL
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These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.
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