The Cox proportional hazards model explained

Error at 4:12. The cumulative hazards should be:
0.1667 0.3667 0.6167 1.2833 2.2833
since we need to account for the time steps:
0.1667*1
0.1667*1 + 0.0400*5
0.1667*1 + 0.0400*5 + 0.0625*4
0.1667*1 + 0.0400*5 + 0.0625*4 + 0.6667*1
0.1667*1 + 0.0400*5 + 0.0625*4 + 0.6667*1 + 1.0000*1

1. The Kaplan Meier curve
2. Understanding the hazard (01:05)
3. How Cox regression works (04:43)
4. The hazard ratio (07:50)
5. The log-rank test vs Cox regression (11:21)
6. How to check the proportional hazards assumption (12:40)

[tilestats]

Error at 4:12. The cumulative hazards should be:
0.1667 0.3667 0.6167 1.2833 2.2833
since we need to account for the time steps:
0.1667*1
0.1667*1 + 0.0400*5
0.1667*1 + 0.0400*5 + 0.0625*4
0.1667*1 + 0.0400*5 + 0.0625*4 + 0.6667*1
0.1667*1 + 0.0400*5 + 0.0625*4 + 0.6667*1 + 1.0000*1

[pepe_the_frog-]

Thank you for the great and simple explanation!

[ogbonnaya]

Thank you, bro. Well explained. Love it😊

[CanDoSo_org]

Sir, could you please also make a tutorial for extended coxph model? Many thanks.

[vladimiri]

Thanks a lot! It might be helpful to share datasets for your examples.)

[pinkyc]

Could you please tell me how to interpret 1 - S(t) and is it same as hazard? How 1 - S(t) and hazard related?