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In order to assess the performance of the prediction method, the predicted median estimates using our method were compared to these "true" medians (i.e., observed median estimates using data as of December 31 , 2001 for the study sample.
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Point shows median estimate, using data in Tables 2, 3 ; circle shows joint 95% binomial confidence interval.
The "true" median estimate (using data as of December 31 , 2001 according to the IPCW estimator for the 942 cohort was estimated to be 80 months.
Moreover, the parametric methods are also often to be preferred because estimates using medians may have little relevance for decision making.
For the open-ended question with the analysis based on continuous data, the WTP mean and median were estimated using survival analysis.
When using GEE, the mean and median correlations estimated using Pearson residuals were negative.
We calculated point estimates using the median of the 500 estimates, and calculated non-parametric 95% confidence intervals by ranking the point estimates from the 500 samples and computing the 2.5th and 97.5th percentiles.
bIf median estimates are used, this corresponds to an estimated 19 pregnancies and 17 newborns annually.
For time-to-event endpoints, distributions and medians were estimated using the Kaplan Meier method or cumulative incidence in the competing risk setting (i.e., treatment failure and discontinuation of treatment without failure) as appropriate; associated 95% CIs for medians were obtained using Brookmeyer-Crowley methodology.
Median PFS and median OS were estimated using the Kaplan Meier method.
The median probability of the survival period and the median TTP were estimated using the Kaplan Meier method.
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