00:01
Okay, for a, we're going to talk about key assumptions of koch's proportional hazards model.
00:06
So one is the proportional hazards assumption.
00:22
So this assumption states that the hazard ratios between groups defined by the covariates are constant over time.
00:29
That is the effect of the covariates, in this case sex, age, and ph .e equals g, on the hazard is multiplicative and does not vary with time.
00:42
Second is no interaction between covariates.
00:56
So the model assumes that there are no interactions between covariates unless specifically included in the model.
01:03
This means that the effect of one covariate on the survival time is independent of the values of the other covariates.
01:11
For b, we want to compute and interpret the hazard ratios and confidence intervals.
01:18
So, hazard ratio is given by e to beta, and 95 % confidence interval is given by ci equals e to beta plus or minus 1 .96 times the standard error of beta.
01:45
So, this is all given in the output.
01:49
So, as for sex, we have the confidence interval of, or excuse me, the hr is e to negative 0 .552612, which is equal to 0 .575, and confidence interval is e to negative 0 .552612 minus 1 .96 times 0 .167739 to e to negative 0 .552612 plus 1 .96 times 0 .167739 9 and which is approximately 0 .414 to 0 .799.
02:59
So being in sex category 2 is associated with a hazard rate about 42 .5 % lower than being in sex category 1 holding no other variable constant...