Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures - Case-Control Study and Odds Ratio | Statistics Tutorial #31| MarinStatsLectures

Case-Control Study and Odds Ratio: Learn How to Estimate the Odds Ratio as a Measure of Association for Case-Control Studies?👉🏼 Learn How to Use R to Estimate Odds Ratio with this video :(https://youtu.be/V_YNPQoAyCc) 👍🏼Best Statistics & R Programming Language Tutorials: ( https://goo.gl/4vDQzT ) ►► Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment, Give us a Like or Write us a Review! Either way, We Thank You! The odds ratio is a measure of association for a case-control study. Odds Ratio is the odds of getting the disease for someone who is exposed relative to the odds of the disease for someone who is not exposed. While a case-control study does not allow one to estimate incidence or prevalence of a disease, and hence we can not estimate a relative risk, or a risk difference, we can estimate an odds ratio. In this statistics video tutorial, we explain exactly why we are able to estimate an odds ratio for a case-control study design with an example. We also note that case-control studies are often used for studying rare diseases and that in the case of a rare disease, an odds ratio is approximately equal to the relative risk. This is an extremely nice result, as the relative risk is what we are most interested in. But for a rare disease, we often must work with a case-control design, and with this design, we can not directly estimate the relative risk....but... we can estimate the odds ratio, which happens to be approximately equal to the relative risk, when the disease is rare...what a beautiful loop! ► ► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►Data Science with R https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA Concept and with R https://bit.ly/2zBwjgL ►Hypothesis Testing: https://bit.ly/2Ff3J9e ►Linear Regression Concept and with R Lectures https://bit.ly/2z8fXg1 Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn 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 courses at The University of British Columbia (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! #statistics #rprogramming