<p>Standardized mean square error (MSE) and standardized bias for corrected (Corr.) and uncorrected (Unc.) variance estimates from the bias-correction simulations.</p
The evaluation of competing analysis strategies based on estimator bias and the mean square errors o...
Formulas for the asymptotic biases of the estimators of the normal theory standard errors in factor ...
<p>The SE is predicted from the approximation theory given different levels of disease prevalence (<...
<p>Simulation study estimates of bias (mean and 95% confidence interval for the mean).</p
When calculating the mean square error (MSE), it is possible to encounter a situation where the vari...
<p>Simulation based estimates of the mean square error, for highly correlated data, <i>T</i> = 100 ⋅...
<p>Simulation based estimates of the mean square error, when <i>T</i> = 100 ⋅ <i>N</i>.</p
Columns 4 and 5 show the bias and the for the point estimate of the PITE. The sixth column shows th...
In this paper, a new estimator for the standard deviation of the error term in non-replicated factor...
<p>Simulation based estimates of the mean square error, when <i>T</i> = 10 ⋅ <i>N</i>.</p
<p>The red line shows the MSE from the errors in the marginal effect estimates from RE estimation. T...
<p>Estimated coefficients (β-estimate), standard errors (SE), and 85% confidence intervals for varia...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>Comparison of the variability and mean squared bias (MSB) of the spline estimators from small and...
<p>Correspondence between estimated standard errors (SE) for 2010 SDR and 2010 NSCG estimates based ...
The evaluation of competing analysis strategies based on estimator bias and the mean square errors o...
Formulas for the asymptotic biases of the estimators of the normal theory standard errors in factor ...
<p>The SE is predicted from the approximation theory given different levels of disease prevalence (<...
<p>Simulation study estimates of bias (mean and 95% confidence interval for the mean).</p
When calculating the mean square error (MSE), it is possible to encounter a situation where the vari...
<p>Simulation based estimates of the mean square error, for highly correlated data, <i>T</i> = 100 ⋅...
<p>Simulation based estimates of the mean square error, when <i>T</i> = 100 ⋅ <i>N</i>.</p
Columns 4 and 5 show the bias and the for the point estimate of the PITE. The sixth column shows th...
In this paper, a new estimator for the standard deviation of the error term in non-replicated factor...
<p>Simulation based estimates of the mean square error, when <i>T</i> = 10 ⋅ <i>N</i>.</p
<p>The red line shows the MSE from the errors in the marginal effect estimates from RE estimation. T...
<p>Estimated coefficients (β-estimate), standard errors (SE), and 85% confidence intervals for varia...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>Comparison of the variability and mean squared bias (MSB) of the spline estimators from small and...
<p>Correspondence between estimated standard errors (SE) for 2010 SDR and 2010 NSCG estimates based ...
The evaluation of competing analysis strategies based on estimator bias and the mean square errors o...
Formulas for the asymptotic biases of the estimators of the normal theory standard errors in factor ...
<p>The SE is predicted from the approximation theory given different levels of disease prevalence (<...
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