Survival Analysis Part 7 | Exponential Model (Intro to Regression Models for Survival)

This video introduces the Exponential survival model in Survival Analysis. This model is used as an entry point to explaining how regression models are used in estimating survival functions. At the end of this video, we build a bridge to the Weibull survival model and the Cox Proportional Hazards model. The video that follows this one explains each of those in more detail. This video is the first in a series of videos covering survival analysis. The series contains videos that explain the concepts as well as vides that show implementation using the statistical software R.

These videos were put together quickly in response to the COVID-19 pandemic, and are being used as we transition classes to be online for the remainder of the year.

►► 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!

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