Publication date
October 2015
DOIAbstract
<p>CCD: Census Collection District | VPC: Variance Partition Coefficient | 95%CI: 95% Confidence Intervals</p><p>Multilevel models.</p
<p>CCD: Census Collection District | VPC: Variance Partition Coefficient | 95%CI: 95% Confidence Intervals</p><p>Multilevel models.</p
**<p><i>p<.01(two-tail test)</i>,</p>*<p><i>p<.05 (two-tail test). T-values in parentheses. Multilev...
<p>**<i>p<.01(two-tail test)</i>,</p><p>*<i>p<.05 (two-tail test)</i>,</p>†<p><i>p<.05 (one-tail tes...
<p>Parameter Estimates from the Multilevel Regression Modeling for Model 1 (see text).</p
Courgeau Daniel. Goldstein (H.) — Multilevel Statistical Models. In: Population, 52ᵉ année, n°4, 199...
*<p>p value<5 percent. “Intercept only” model is a multilevel model with no covariates other than th...
The multilevel models aiming to address the different hypotheses of the study.</p
The multilevel models allow to analyse the data variation simultaneously at the different levels1. A...
Abstract. In multilevel modelling, the residual variation in a response variable is split into compo...
<p>Detailed description of neighborhood level variables included in the multilevel model.</p
<p>RR relative risk; CI95% confidence interval; ICC intra class correlation coefficient; SE standard...
Multilevel (hierarchical) modeling is a generalization of linear and generalized linear modeling in ...
A first step when fitting multilevel models to continuous responses is to explore the degree of clus...
Because of the inherent multilevel nature of census data, it is often appropriate to use multilevel ...
Period of award 1 Apr 1998-31 Mar 1999Available from British Library Document Supply Centre-DSC:3739...
This book provides a clear introduction to this important area of statistics. The author provides a ...
**<p><i>p<.01(two-tail test)</i>,</p>*<p><i>p<.05 (two-tail test). T-values in parentheses. Multilev...
<p>**<i>p<.01(two-tail test)</i>,</p><p>*<i>p<.05 (two-tail test)</i>,</p>†<p><i>p<.05 (one-tail tes...
<p>Parameter Estimates from the Multilevel Regression Modeling for Model 1 (see text).</p
Courgeau Daniel. Goldstein (H.) — Multilevel Statistical Models. In: Population, 52ᵉ année, n°4, 199...
*<p>p value<5 percent. “Intercept only” model is a multilevel model with no covariates other than th...
The multilevel models aiming to address the different hypotheses of the study.</p
The multilevel models allow to analyse the data variation simultaneously at the different levels1. A...
Abstract. In multilevel modelling, the residual variation in a response variable is split into compo...
<p>Detailed description of neighborhood level variables included in the multilevel model.</p
<p>RR relative risk; CI95% confidence interval; ICC intra class correlation coefficient; SE standard...
Multilevel (hierarchical) modeling is a generalization of linear and generalized linear modeling in ...
A first step when fitting multilevel models to continuous responses is to explore the degree of clus...
Because of the inherent multilevel nature of census data, it is often appropriate to use multilevel ...
Period of award 1 Apr 1998-31 Mar 1999Available from British Library Document Supply Centre-DSC:3739...
This book provides a clear introduction to this important area of statistics. The author provides a ...
**<p><i>p<.01(two-tail test)</i>,</p>*<p><i>p<.05 (two-tail test). T-values in parentheses. Multilev...
<p>**<i>p<.01(two-tail test)</i>,</p><p>*<i>p<.05 (two-tail test)</i>,</p>†<p><i>p<.05 (one-tail tes...
<p>Parameter Estimates from the Multilevel Regression Modeling for Model 1 (see text).</p
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