Estimating confidence intervals for cerebral autoregulation: a parametric bootstrap approach

The objective of this paper is to present a novel parametric bootstrap method, used to estimate the sampling distribution and hence confidence intervals (CIs) of the mean phase estimate in the low-frequency band, in order to optimise estimation of measures of CA function and allow more robust inferences on the status of CA from individual recordings. A set of simulations was used to veri...
Source: Physiological Measurement - Category: Physiology Authors: Source Type: research
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