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Kaplan-Meier plots were constructed to estimate the median survival function, and log-rank tests were performed to compare the survival curves of the two survival groups (low- and high-risk groups).
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Based on the survival functions, the median survival (i.e. time point where 50% of patients are still alive) as well as the expected survival (i.e. mean survival based on the area under the curve up to the time-point when all of the patients have died) were estimated.
Patients were divided into groups on the basis of levels of expression using natural divisions (i.e. tertiles, median), and the Kaplan Meier survival function was plotted.
Analysis with this model revealed that cured fraction is primarily a function of histologic type and node status, while median survival time is primarily a function of age and node status.
Derivation of the median survival time T. Let h(t) be the hazard function of death.
The median survival time (T1/2) as the time when the survivor function equals 50% was determined because median survivorship reflects a more reliable metric than the mean survival time [ 10].
Mutated SPI1 led to a reduced function of the transcription factor and the median survival of patients with SPI1 mutations was significantly shorter than patients without SPI1 mutations.
Median (95% CI) progression-free and overall survival calculated from survival function were 5.7 (95% CI 2.5 8.9) and 23.8 (95% CI 16.7 30.8) months, respectively.
Median survival time was calculated as the shortest survival time for which the survivor function is ≤0.5.
One knot, placed at the median of the failure time distribution, seems to be sufficient to model the marginal survival function, see Figure 3.
The absolute difference in survival and the difference in median survival time, although often quoted, are weak because they represent only a 'snapshot' of the difference in survival functions.
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