COX REGRESSION and HAZARD RATIOS - easily explained with an example!

In this video, we will discuss the main concepts behind Cox regression for survival time analysis - easily explained! We will go through hazard ratios, coefficients, p-values and confidence intervals.
I will also give you simple and practical guidelines on how to interpret the results from Cox regression, with an example!
And as always, you can find the full explanation at biostatsquid.com
Hope you like it!
biostatsquid.com/easy-cox-reg...
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Other interesting resources:
Survival analysis review: www.ncbi.nlm.nih.gov/pmc/arti...
Survival curves and Cox regression: www.ibm.com/docs/en/spss-stat...

[@GAsantewaa]

Thank you for this simple and short explanation!!!

[@user-lj7bo1hd1p]

Great explanation! Thanks !

[@tareknahle9578]

Thank you for this amazing video!

[@maxacevedo1725]

Really helpful, thank you!

[@amandamirandamartins2014]

this video helped me so much!!!!!

[@rianiw2023]

thank you for the video! I would like to know what is the best time to collect data for cox regression analysis? in the beginning of treatment, or endpoint (when the event/hazard occurs)?

[@jlee509]

hidden gem of stats

[@bodorakotonirina6035]

thank you for your explanations, in the last example, the confidence interval include the number 1 but the p value is significant, which parameter should we consider to definitely say that the result is significant. Thank you very much

[@biostatsquid]

Hi! Thank you so much for your question, it's a really good one. It's best to follow confidence intervals - they give you a better precision of the estimate (in this case we are estimating the HR). There's a very complete comment with additional links here: www.researchgate.net/post/When_a_confidence_interval_crosses_the_null_hypothesis_1_but_P_value_is_0001_Is_it_significant

[@juandediostenahorrillo9622]

How to deal with a situation where the value of the covariate changes after the treatment?. For example, a person is smoker at the initial period but he quits after some time.

[@user-nd7ur8jr1m]

nice explanation!!! but you might want to balance the volume

[@k4mf0164]

Hi. Just checking the data in your video, and drug A's HR is e^(-1.8) = 0.1652, not 0.152. I'm guessing a typo with omitted 6? Otherwise, nice explanation, thank you for the videos!

[@biostatsquid]

Hi, thank you for you for your comment! Yes, just a typo, great that you noticed:)

[@k4mf0164]

Also the Age HR is e^(0.2) = 1.221 (not 1.247) and the 95% CI for Age HR on the slide [0.60 - 0.90] doesn't include the given HR, it should be around [1.034; 1.443]?

[@biostatsquid]

Correct! Well spotted:) and definitely - sorry for the confusion! The confidence interval should include the hazard ratio as it is a way of expressing the uncertainty around the point estimate of the hazard ratio. Thanks for your comment, I'm sure more people have the same question:)

[@k4mf0164]

And the CI 95% for Gender HR is [0.349; 0.474] and does not include 1.0. There are just too many errors in the data shown in the video.

[@biostatsquid]

Yep exactly! Thanks! Hope that despite the errors I still made my point across and the idea behind Cox regression was understandable.