I have some experimental data for animals with tumours. Unfortunately, they were not followed individually during a time course, but evaluated as groups. As a result, I have 6 predictors only for animals that have survived for each time point. I would like to test which of these covariates significantly increases/decreases the chance of survival. Is there a way to still use Cox's regression, or there are better options?