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From those trajectories, we can estimate variances according to (6) with estimated mean (7) for each i, j and each time point.
The random-effects model of DerSimonian and Laird was used to estimate variances for the Mantel-Haenszel and inverse variance estimations [ 20].
The random effects model of Der Simonian and Laird was used to estimate variances for the Mantel-Haenszel and inverse variance estimators [ 16].
The random effects model of DerSimonian and Laird was used to estimate variances for the Mantel-Haenszel and inverse variance estimators [ 24].
The random effects model of DerSimonian and Laird was used to estimate variances for the Mantel-Haenszel [ 12] and inverse variance estimators.
The strongly reduced dataset for DH estimations called for longer iteration chains to obtain convergence and to estimate variances with the same accuracies as the HD estimates.
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Figure 7 QPSK IIB-phase estimate variance.
Figure 8 8PSK IIB-phase estimate variance.
MLM allows us to estimate variance and covariance components explicitly.
Mixed model regression methods were used to estimate variance components for school and residual error.
While ICI rule is statistically motivated and designed to minimize the estimate variance.
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