Sentence examples for censored time from inspiring English sources

This was achieved by generating a survival probability from a uniform distribution of each censored observation; calculating where this probability would cut the time axis of the tail distribution conditional on the censored time; and adding this quantity to the censored time.

This analysis included censored observations on 23 patients, however only 5 of these had a censored time less than the lead time.

For each of the regions identified in the foregoing parcellation schemes, we estimated connectivity matrices using both full (Pearson) correlation and partial correlation; censored time points were excluded from computation of these correlation matrices.

The sire effect for the analysis with the 10 day interval censored time data was 2.79, so the censoring has little effect on the point estimate.

The half-life was calculated according to the Kaplan Meier method using the censored time as the duration between the year of publication to the year 2000 (updated in 2009).

Where there is a censored time the proportion surviving will be 1.

Cox regression analysis allows for the inclusion of censored data and it models censored time-until-event data as a dependent variable where it can be assumed that the covariates have a multiplying effect on hazard rates.

To estimate the parameters of the Lyman normal-tissue complication probability model using censored time-to-event data for Grade ≥2 late rectal toxicity among patients treated on Radiation Therapy Oncology Group 94-06, a dose-escalation trial designed to determine the maximum tolerated dose for three-dimensional conformal radiotherapy of prostate cancer.

Although our results have direct and obvious implications for estimation following group sequential trials, there are also ramifications for a range of other settings, such as random cluster sizes, censored time-to-event data, and the joint modeling of longitudinal and time-to-event data.

Such study designs generate arbitrarily censored time-to-event data, which can include left, interval and right censoring.

We assess six learning algorithms (k = 1, …, 6) appropriate for high-dimensional continuous predictors and possibly censored time-to-event outcomes: Lasso and Ridge regression (Goeman, 2010), CoxBoost (Binder and Schumacher, 2008), SuperPC (Blair and Tibshirani, 2004), Unicox (Tibshirani, 2009) and Plusminus (Zhao et al., 2013).