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8.4 Effect Modification: Stratifying vs. Modelling It With Interaction Term in R

Автор: MarinStatsLectures-R Programming & Statistics

Загружено: 2021-02-01

Просмотров: 5423

Описание: This video compares addressing effect modification by using a stratified analysis versus modelling it using an interaction term.

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:

► Statistics Course for Data Science https://bit.ly/2SQOxDH
►R Course for Beginners: https://bit.ly/1A1Pixc
►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
►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e
►Linear Regression Statistics and Linear Regression with R : https://bit.ly/2z8fXg1

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Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)

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.

Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!

#statistics #rprogramming

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