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The Kaplan Meier product limit estimator was used to estimate time to event distributions which included OS and TTF.
Techniques from the field of survival analysis, such as the Kaplan-Meier estimator, have been used to estimate time to revision surgery since the 1980s.
We used R survey package [ 10] to estimate time to vaccination and 95% CIs (Aalen [hazard-based] estimator) for each dose of pentavalent vaccinec (Penta) and first dose of measles-mumps-rubella vaccine (MMR1).
Bonissone and Goebel [57] developed a very useful and practical online prognostics system using hybrid soft computing model to estimate time to break in the wet-end part of the paper making machine and give an early indication about this break.
The Kaplan-Meier method was used to estimate time to progression, and differences were assessed using log-rank statistics.
Kaplan-Meier time-to-event curves were used to estimate time to achieve target range.
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Wu and Tsai (2000) developed weighted-based fuzzy clustering procedure to estimate time-to-failure distribution.
The Kaplan Meier method was used to estimate time-to-event curves.
Kaplan Meier methods were used to estimate time-to-event end points.
Survival analysis was conducted to estimate time-to-discharge patterns in different groups.
A Weibull gap-time frailty model was used to estimate time-to-relapse for each dose regimen [ 17].
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