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Logistic Regression Part III | Statistics for Applied Epidemiology | Tutorial 8
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Logistic Regression: Interaction, Model Assumptions and more!
After watching this statistics tutorial, you should be able to…
– Run logistic regression in R
– Interpret output (coefficients)
• Report log-odds, Odds Ratio
• 95% confidence intervals for coefficients & Odds Ratios
– Compare models statistically
– Assess confounding and interaction
– Make predictions: log-odds, odds, and probabilities
– Know the difference between predictive and effect size/hypothesis testing models
– Check linearity (main assumption of logistic regression)
►► Watch More:
Content Creator and Producer: Mary Clare Kennedy (M.A.), Research Associate at UBC
Follow MarinStatsLectures
This statistics video tutorial is prepared to support SPPH 500: Analytic Methods in Applied Epidemiology course offered in the School of Population and Public Health at the University of British Columbia (UBC). These videos are created as part of #marinstatslectures video tutorial series to support some courses at UBC (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), 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!
After watching this statistics tutorial, you should be able to…
– Run logistic regression in R
– Interpret output (coefficients)
• Report log-odds, Odds Ratio
• 95% confidence intervals for coefficients & Odds Ratios
– Compare models statistically
– Assess confounding and interaction
– Make predictions: log-odds, odds, and probabilities
– Know the difference between predictive and effect size/hypothesis testing models
– Check linearity (main assumption of logistic regression)
►► Watch More:
Content Creator and Producer: Mary Clare Kennedy (M.A.), Research Associate at UBC
Follow MarinStatsLectures
This statistics video tutorial is prepared to support SPPH 500: Analytic Methods in Applied Epidemiology course offered in the School of Population and Public Health at the University of British Columbia (UBC). These videos are created as part of #marinstatslectures video tutorial series to support some courses at UBC (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), 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!
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