3,286
Views
9
CrossRef citations to date
0
Altmetric
Articles

Bootstrapped inference for variance parameters, measures of heterogeneity and random effects in multilevel logistic regression models

&
Pages 3175-3199 | Received 26 May 2020, Accepted 15 Jul 2020, Published online: 13 Aug 2020

Figures & data

Figure 1. Ratio of mean bootstrap estimate of standard deviation to the empirical standard deviation of sampling distribution: τ2.

Figure 1. Ratio of mean bootstrap estimate of standard deviation to the empirical standard deviation of sampling distribution: τ2.

Figure 2. Ratio of mean bootstrap estimate of standard deviation to the empirical standard deviation of sampling distribution: VPC.

Figure 2. Ratio of mean bootstrap estimate of standard deviation to the empirical standard deviation of sampling distribution: VPC.

Figure 3. Ratio of mean bootstrap estimate of standard deviation to the empirical standard deviation of sampling distribution: MOR.

Figure 3. Ratio of mean bootstrap estimate of standard deviation to the empirical standard deviation of sampling distribution: MOR.

Figure 4. Empirical coverage rates of 95% confidence intervals for τ2/VPC/MOR.

Figure 4. Empirical coverage rates of 95% confidence intervals for τ2/VPC/MOR.

Figure 5. Ratio of mean estimated standard error to empirical standard deviation of sampling distribution.

Figure 5. Ratio of mean estimated standard error to empirical standard deviation of sampling distribution.

Figure 6. Coverage rates of 95% CIs for cluster-specific random effects.

Figure 6. Coverage rates of 95% CIs for cluster-specific random effects.
Supplemental material

Supplemental Material

Download PDF (243.1 KB)