Sentence examples for bootstrapping methods were used from inspiring English sources

In all models, individuals were weighted based on their sampling weight in the CCHS, and bootstrapping methods were used to determine 95% confidence intervals around all estimates.

Because cost data frequently do not exemplify a typical random distribution (ie, they are usually right-skewed and truncated at zero due to a small number of patients with high costs, a large number of patients with no costs, and the impossibility of costs less than zero 18), bootstrapping methods were used.

The calculation of eGFR is affected by ethnicity, but given the imperfect recording of ethnicity in primary care and that a small percentage of Oxfordshire renal function requests require adjustment for ethnicity, bootstrapping methods were used to test the effects of ethnicity.

Missing costs and QALY data were imputed using a regression-based method adjusting for baseline variables costs, EQ-5D-3L scores, GHQ-12 score, and the type of MS. Non-parametric bootstrapping methods were used to account for non-normality in the distribution of cost data [27].

Bootstrapping methods were used for self-reported "heart attack".

Bootstrapping methods were used to calculate 95% confidence intervals (55).

Permutation and bootstrapping methods are used to perform inference on the change points.

Bootstrap methods were used to estimate the difference in median changes and associated 95% confidence intervals.

Bootstrap methods were used to estimate the respective 95% confidence intervals[ 21].

Bootstrap methods were used to estimate the variability of τ ^ 1 by re-sampling with replacement 400 data sets each with 10,000 employees [ 24].

Bootstrap methods were used to determine confidence intervals for these incremental cost-effectiveness ratio's.Two scenarios of 15 and 30% were used to express the association between increased HH compliance and the reduction in HAIs The TDS was significantly more effective in improving HH compliance.