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2016 ; 4
(20
): 401
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English Wikipedia
Statistical description for survival data
#MMPMID27867953
Zhang Z
Ann Transl Med
2016[Oct]; 4
(20
): 401
PMID27867953
show ga
Statistical description is always the first step in data analysis. It gives
investigator a general impression of the data at hand. Traditionally, data are
described as central tendency and deviation. However, this framework does not fit
to the survival data (also termed time-to-event data). Such data type contains
two components. One is the survival time and the other is the status. Researchers
are usually interested in the probability of event at a given survival time
point. Hazard function, cumulative hazard function and survival function are
commonly used to describe survival data. Survival function can be estimated using
Kaplan-Meier estimator, which is also the default method in most statistical
packages. Alternatively, Nelson-Aalen estimator is available to estimate survival
function. Survival functions of subgroups can be compared using log-rank test.
Furthermore, the article also introduces how to describe time-to-event data with
parametric modeling.
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