Webinar Overview of Cox Proportional Hazard Models Cox Regression 11 29 18

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An overview of Kaplan-Meier curves and Cox Regression, with a small demonstration of Cox Regression in SPSS. I got the quote by Will Roger's backwards...it should be "When the Okies left Oklahoma and moved to California, they raised the average intelligence level in both states."
Otherwise, I did pretty good :) Enjoy!
0:00 Introduction
1:37 About Omega Statistics
3:58 What We'll Cover Today
5:05 Quote for Today
6:08 Some History and Background
11:28 KM Survival Analysis Comparing Survival Curves
13:40 KM Survival Analysis: Assumptions
26:08 Comparing Survival Curves: Don't Do This!
27:47 Comparing Survival Curves: Don't Do This Either!
40:34 Comparing Survival Curves: An Example
48:26 Some Reasoning for Cox Regression
55:01 Hazard Ratio (HR): Quick Example
57:55 Hazard Ratio (HR): For those who want some math

[@hossamfayed253]

Excellent and clear. Special thanks for making it publicly available to everyone, much appreciated!

[@omegastatistics]

You're very welcome!

[@fazlfazl2346]

Now I know what I really needed to know!! Thanks.

[@omegastatistics]

Glad you found it useful!

[@rjohnson0186]

Really well done! Really practical. Thank you so much!

[@omegastatistics]

Thanks Matt, it is one of my favorites :)

[@ewerninghaus]

Very nice presentation. You are really into the matter and passed this positive vibe while talking about the subject. It is an easy 1 hour 20 spent hearing and learning from you. Also nice hints and tips you spread along the way (like the comment that the hazard rate can only be computed at the end of the experiment). Thank you for preparing the material and sharing online.

[@omegastatistics]

So glad you enjoyed it!

[@valor36az]

Great webinar

[@erint.4917]

Very nicely presented and easy to understand -- thank you!

[@omegastatistics]

Glad you enjoyed it!

[@xujingee]

Thanks for the seminar.

[@omegastatistics]

You're welcome Jing Xu!

[@dr.shahbazhanifal-haniffou8725]

Thank you so much for uploading such a nice lecture....learned a lot of useful stuff : )

[@omegastatistics]

You're welcome!

[@muhammadivan1522]

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[@kendrickcolin6623]

@Muhammad Ivan instablaster ;)

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[@milyyybarrrr9216]

I also would like to see colaboration during my research work....

[@karannchew2534]

Thanks for sharing. Very useful!

[@omegastatistics]

You are welcome!

[@janinajochim1843]

This video is AMAZING!

[@omegastatistics]

Thanks Janina, It is one of my favorites too :)

[@janinajochim1843]

It is SO well explained! I have been wondering if the data I have lends itself to using a cox hazard model. I have access to cross-sectional data of 1.000 adolescent mothers who have been asked "How long did you continue going to school when you found our you were pregnant?" answers have been given in weeks. I was hoping to use this model with "Discontinue vs. Continue" as an outcome and weeks as the time variable. I understand it's not ideal to ask participants retrospectively but I am wondering how much of a barrier it is for me to use this method! I am not sure what else to do with the data otherwise ... THANKS!

[@omegastatistics]

@@janinajochim1843 sounds like you could use Cox regression with the event being "discontinued" and it could be time in weeks. They would be "entered" at the time they found out they were pregnant and timed until they dropped out. If you want to reach out to me via email with your data and questions we could schedule a half hour to discuss your study. And I am always available for hire if you need more help :). My email is [e-mail].

[@omegastatistics]

@@janinajochim1843 I tried to send a response but it looks like it didn't go through....Yes, it sounds like Cox regression would work. You would enter them into the study at the time they found out they were pregnant and then your event would be "discontinued school". I wish you the best!

[@janinajochim1843]

@@omegastatistics This sounds wonderful! Thank you!

[@hodaabouzeid3312]

Great explanation.. thank you

[@omegastatistics]

You're welcome Hoda!

[@karannchew2534]

1:02:01 Cox Regression

[@simonthorogood134]

Thank you, I found this very useful. Where can I find a copy of the slides?

[@omegastatistics]

If you would like slides for any of the presentations please email me at [e-mail] and if I have them I will email them to you. Remember to let me know which presentation you need the slides for :)

[@aniceuo]

Great presentation - I have a question as it concerns some data I need to analyze. Can this analysis be used for non time events? I have data for an animals withdrawal response based on pressure applied and it includes animals who would have not responded to maximum pressure applied. Also one objective would be to determine if there is a difference in withdrawal response between animals who got the disease and those that didnt get the disease. Thanks

[@omegastatistics]

Hi Anice, If time isn't a factor then check into other regression models. Is withdrawal response yes/no? Or is it numerical? If it is yes/no then try logistic regression. Numerical, try linear regression.

[@aniceuo]

@@omegastatistics Thanks for your help!

[@Shravan1231000]

Please upload webinar on reliability

[@omegastatistics]

The reliability webinar is live on 9/26/19 and should be uploaded about a week later. If you'd like to attend the live event it is free and you can sign up at register.gotowebinar.com/register/560587502367872269

[@laxmanbisht2638]

thanks!

[@omegastatistics]

You are welcome Laxman!

[@davidngmenbelle6936]

Great

[@omegastatistics]

Thank you Daivd!