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I have four beginner questions about Cox models and life expectancy. I am attempting to re-implement models from published coefficients.

  1. To calculate the life expectancy (LE) of any given individual, what is the minimum information required?

  2. Given a Cox-Proportional Hazard's model for mortality, covariate beta coefficients and the baseline hazard function for years 1-11. Is this enough to calculate LE?

  3. The LE of a 20 year old should be ~80, do you need the baseline hazard function for 60+ years to calculate their LE based on their covariates?

  4. Could LE be defined as the year where probability of survival falls below 0.5? How could you calculate this?

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Thes questions are perhaps best answered in reverse order.

Question 4. Life expectancy (LE) is typically defined as a mean survival over a particular cohort. What you propose is the median survival. That's a perfectly good measure for many purposes, but it's not LE.

Question 3. Cox models often start at some time well after birth and evaluate survival subsequent to some defined time = 0 of study entry. You have no information about anyone who might have died prior to the opportunity to enter the study. Prior survival information is more or less irrelevant, except that anyone entering the study has necessarily survived up until that time and the age at study entry might be a useful covariate.

Question 2. Cox models don't provide survival estimates beyond the last observed event time. Unless the last observation time was a death (not censoring) in an individual before 11 years in your example, you won't have survival information that goes beyond that time. With LE defined as average age at death, you can't get that in such a situation. You can calculate a "restricted mean survival," the average survival up to some defined time end point covered by the data, but I have a lot of trouble thinking about what that really means. If 50% survival has been reached in a Cox model for all groups of interest you can calculate and compare median survivals. Standard statistical software provides ways to extract median survival, if it's been reached, from a Cox model. But that's not LE, as explained above.

Question 1. Life expectancy as an average survival time thus can be hard or impossible to evaluate from Cox models. Other measures of survival, like medians or other quantiles, are more generally applicable.

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