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This video presents the model equation for logistic regression. It takes the time to build it up step by step, providing an explanation of what it is and why it makes sense. The model is presented both as modelling the probability of the outcome as well as modelling the log-odds of the outcome.

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.

►► Watch More:\r
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► Statistics Course for Data Science https://bit.ly/2SQOxDH\r
►R Course for Beginners: https://bit.ly/1A1Pixc\r
►Getting Started with R using R Studio (Series 1): https://bit.ly/2PkTneg\r
►Graphs and Descriptive Statistics in R using R Studio (Series 2): https://bit.ly/2PkTneg\r
►Probability distributions in R using R Studio (Series 3): https://bit.ly/2AT3wpI\r
►Bivariate analysis in R using R Studio (Series 4): https://bit.ly/2SXvcRi\r
►Linear Regression in R using R Studio (Series 5): https://bit.ly/1iytAtm\r
►ANOVA Statistics and ANOVA with R using R Studio : https://bit.ly/2zBwjgL\r
►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e\r
►Linear Regression Statistics and Linear Regression with R : https://bit.ly/2z8fXg1\r
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Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. \r
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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.\r
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