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By the multivariate delta method, the asymptotic distribution of (boldsymbol {hat {theta }}) is also approximately normal with mean θ and covariance matrix D Σ D ′, where D is the (p+3)×(p+3) diagonal matrix (diag(boldsymbol {hat {alpha }},1,1,ldots,1)) and (boldsymbol {hat {alpha }}=exp {(boldsymbol {hat {alpha }}^).
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This pathway effect can be detected significantly at α=0.05 by the percentile bootstrap and bias-corrected bootstrap CI method, as well as by PEM-UD estimated the variance via the unbiased estimator, 19 the multivariate delta estimator, 20 the bootstrap estimator.
Thus, based on the multivariate delta method, the variance of the percent recovery is given by (AI.4) where is the gradient of.
Support for mediation will be determined by assessing the magnitude and significance of the indirect effects (standard errors calculated with the multivariate delta method [ 78]) from the treatment variables to number of falls through changes in strength and stability.
The asymptotic covariance matrix V for the endpoints was computed using the multivariate delta method [68].
The measurement error-corrected intercept is estimated by when β1σ X| Z, U ≡ 0. The variance of these estimates is derived from the multivariate delta method.
We calculated confidence limits for the ICC's using the multivariate delta method [ 7].
The standard error of the mediated effect was computed using the multivariate delta method [ 27].
The relative change is measured by the delta AUC and the delta Brier score.
Relative expression levels were determined by the efficiency-corrected delta-delta CT (ΔΔCt) method.
A result was indicated in terms of a relative quantitation by the comparative threshold (delta-delta Ct) method, (2-ΔΔCt).
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