Logistic Regression I | Statistics for Applied Epidemiology | Tutorial 5

Logistic Regression: Introduction; Find 'WCG' Dataset Here: (bit.ly/2rOfgEJ); Linear Regression Concept and with R (bit.ly/2z8fXg1); More Statistics and R Programming Tutorials: (bit.ly/2Fhu9XU)
In this tutorial you will learn to Interpret simple logistic regression output and calculating ORs with:
- Binary X variable
- Continuous X variable
- X variable with multiple categories
You will also learn about estimating the log-odds of an outcome
►► Watch More:
► Intro to Statistics Course: bit.ly/2SQOxDH
►R Tutorials for Data Science bit.ly/1A1Pixc
►Getting Started with R (Series 1): bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R (Series 2): bit.ly/2PkTneg
►Probability distributions in R (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R (Series 4): bit.ly/2SXvcRi
►Linear Regression in R (Series 5): bit.ly/1iytAtm
►ANOVA Concept and with R bit.ly/2zBwjgL
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This statistics 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!

[@mohamedhijazi8460]

So far the best explanation about Logistic regression on KZbin. Thanks

[@gavinaustin4474]

Really enjoying this series, Mary. Looking forward to the next one.

[@AbdullahPunctureWale-BePgCxx]

Thanks for knowledge sharing..... !!! You make life beautiful.....!!! :)

[@shirlyzhang779]

Thanks for sharing!!! Your explanations are super clear and easy to understand.

[@yuzaR-Data-Science]

thanks a lot Mary! very intuitive and clear explanation!

[@AliVeli-uu1yk]

Thanks from Turkey

[@himanshukesarvani8004]

You are the saviour. Thanks a lot :)

[@marinstatlectures]

you're welcome :)

[@ngliwen947]

nice video, i very appreciated

[@randypotter2660]

Is there a list of the variables in the WCG data set? Some of them are obvious, but some of the variable names are rather cryptic.

[@raoulbiagioni1267]

I downloaded the dataset from the link above and plotted chd ~ age but don't get anything like what is shown in the video. For starters the age range in the dataset is (39,59) while the video shows (20,70). Any ideas?

[@sanilsarang8643]

where can I find the R code referenced here...this is such an elegant video...thanks !

[@marinstatlectures]

we don't have the R code separately for these. you'd have to take a look at what is contained in the videos only at this time...

[@nisarbaig3050]

Hi Mike.. I am collecting real time data and I have many files. I want to merge all files of 8 months in a single file so I can see continuous variation in my data and then i want to have Summary of each day separately. I also want to do some correction in my data by applying some formula in some particular rows/column. How can I do all this.. I hope you understand what I am trying to say. please reply soon.

[@marinstatlectures]

Hi, I'm sorry, but I'm not really clear on exactly what it is you want to do

[@meleksenakn1739]

Could you provide the R script?

[@rosechandayo_]

hi can i calculate this without needing to use logestic regression apps? i have no background in statistics this just happen to be my report

[@marinstatlectures]

Technically, you can calculate it by hand, but it is MUCH simpler to do it using software

[@rmy.anugolpo]

What's about z value ? Can anyone explain, please

[@nisarbaig3050]

Okay.. how can I write codes in R? If you know coding, please provide some best example.

[@marinstatlectures]

Hi, is there something specific you are referring to? we have 50+ videos teaching the use of R, right from the very beginning. if you are talking specifically about logistic regression, you can fit a model using *model

[@rbloxgirl21004]

It would be great if you talk a little slower.