Logistic Regression I | Statistics for Applied Epidemiology | Tutorial 5

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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

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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!
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So far the best explanation about Logistic regression on YouTube. Thanks

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

gavinaustin
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Thanks for knowledge !!! You make life :)

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

shirlyzhang
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thanks a lot Mary! very intuitive and clear explanation!

yuzaR-Data-Science
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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.

randypotter
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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?

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

sanilsarang
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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

rosechandayo_
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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.

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

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

rmy.anugolpo
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It would be great if you talk a little slower.

rbloxgirl