Estimating net survival using a life-table approach
Abstract. Cancer registries are often interested in estimating net survival (NS), the
probability of survival if the cancer under study is the only possible cause of
death. Pohar Perme, Stare, and Estéve (2012, Biometrics 68:
113–120) proposed a new estimator of NS based on inverse probability
weighting. They demonstrated that existing estimators of NS based on relative
survival were biased, whereas the new estimator was unbiased. The new estimator
was developed for continuous survival times, yet cancer registries often have
only discrete survival times (for example, survival time in completed months or
years). Therefore, we propose an approach to estimation for when survival times
are discrete. In this article, we describe the stnet command for
life-table estimation of NS, adapting the Pohar Perme estimation approach to
life-table estimation. Estimates can be made using a period or hybrid approach
in addition to the traditional cohort (or complete) approach, and
age-standardized survival estimates are available.
View all articles by these authors:
Enzo Coviello, Karri Seppä, Paul W. Dickman, Arun Pokhrel
View all articles with these keywords:
stnet, net survival, relative survival, competing risks, life table, cancer survival, age standardization, period analysis
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