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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! https://biostatsquid.com/easy-cox-reg... -------------------------------------------------------------------------------------------------------------------- Watched it already? If you liked this video or found it useful, please let me know! Your comments and feedback are very much appreciated😊 And if you find my content helpful, you might consider buying me a coffee! Any kind of support is greatly appreciated:) https://www.buymeacoffee.com/biostats... If you have questions, don't hesitate to leave me a comment down below, I will answer as soon as I can:) -------------------------------------------------------------------------------------------------------------------- Are you into biostatistics and computational analysis? For more biostatistics tools and resources, you can visit: https://biostatsquid.com/ Follow me on Instagram at @biostatsquid: / biostatsquid For more • simple and clear explanations of biostatistics methods • computational biology tools • easy step-by-step tutorials in R and Python to analyse and visualise your biological data! Don’t forget to subscribe if you don’t want to miss another video from me! -------------------------------------------------------------------------------------------------------------------- Other interesting resources: Survival analysis review: https://www.ncbi.nlm.nih.gov/pmc/arti... Survival curves and Cox regression: https://www.ibm.com/docs/en/spss-stat...