I am new in survival analysis. I have been taught that you analyze using survival because you have a special dataset: one with censored data. And that if I work only with not censored data, I can have severe bias.
But now, when working with a dataset collected for a survival analysis, I am required to crosstab some dichotomous risk factors and death/censored data. I also have seen advice in internet to use logistic regression to predict death with the risk factors. This is supposed to be preliminary work to the real survival analysis.
My questions are: ¿Is it a good idea to run crosstabs? Why not univariate Cox if you want crude ratios?
Or exploring the data, why not Kaplan Meier instead of crosstabs?
(I am not a native english speaker. Please excuse my bad english).
Thanks in advance. Florentino Menéndez