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The standard error (Std. Error) column is an estimate of the variability of the estimate and can be used to assess the uncertainty associated via a formal hypothesis test.
However, the difference in PSF should be assessed with caution as only 18 patients were included in the present analysis resulting in high variability of the estimate.
It can be seen that the analysis of a cumulative area of 2.5 mm2 (randomly selected from all available samples) is sufficient to reduce the variability of the estimate to within 10% of the total sample mean for all markers.
The validity of the distributional method is assessed through the bias of the estimate, how well the standard error (se) is an accurate measure of the variability of the estimate and the coverage of the 95% confidence interval of the true value.
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As for the smaller sample size, the variability of the estimates is higher; however, both current cumulative incidence and current leukaemia-free survival estimators have comparable performance to the Markov model estimator.
This region incorrectly ignores the variability of this estimate, because the efficacy of the prior treatment lies somewhere around the estimate.
Furthermore, mapped areas should be adjusted to eliminate bias attributable to map classification error and these error-adjusted area estimates should be accompanied by confidence intervals to quantify the sampling variability of the estimated area.
The presented results show that the propagation does not magnify the uncertainty of the single poroelastic properties although, their correlation may amplify the variability of the estimates obtained from poroelastic state equations.
Obviously the reduction in the number of sections would lead to an increase of the variability of the estimated parameters.
However, by construction, fixed effect meta-regression analysis assumes that between-study variability of the estimates are equal to zero.
The unbiasedness of these procedures and the controls of the variability of the estimates require moments assumptions and Holder type conditions on the parameters of the SDE (1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com