CHAPTER 21 Summarizing and Graphing Survival Data 307
Looking at the Life-Table Method
To estimate survival and hazard rates in a population from a set of observed sur-
vival times, some of which are censored, you must combine the information from
censored and uncensored observations properly. How is this done? Well, it’s not
done by dividing the number of participants alive at a certain time point in the
study by the total number of participants in the study, because this fails to account
for censored observations.
Instead, think of the observation period in a study as a series of slices of time.
Think about how each time a participant survives a slice of time and encounters
the next one, they have a certain probability of surviving to the end of that slice
and continuing on to encounter the next. The cumulative survival probability can
then be obtained by successively multiplying all these individual time-slice sur-
vival probabilities together. For example, to survive three years, first the partici-
pant has to survive the first slice (Year 1), then survive the second slice (Year 2),
and then survive the third slice (Year 3). The probability of surviving all three
years is the product of the probabilities of surviving through Year 1, Year 2,
and Year 3.
These calculations can be laid out systematically in a life table, which is also called
an actuarial life table because of its early use by insurance companies. The calcula-
tions only involve addition, subtraction, multiplication, and division, so they can
be done manually. They are easy to set up in a spreadsheet format, and there are
many life-table templates available for Microsoft Excel and other spreadsheet
programs that you can use.
Making a life table
To create a life table from your survival data, you should first break the entire
range of survival times into convenient time slices. These can be months, quar-
ters, or years, depending on the time scale of the event you’re studying. Also, you
have to consider the time increments in which you want to report your results.
You should arrange to have at least five slices or else your survival and hazard
estimates will be too coarse to show any useful features. Having many skinny
slices doesn’t disturb the calculations, but the life table will have many rows and
may become unwieldy. For the survival times shown in Figure 21-2, a natural
choice would be to use seven 1-year time slices.