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Fig. 14 Ex graph of the observed answers compared to the expected ones Table 1 Estimate summary R-squared 0,871829 Correct R-squared 0,846752 Mean Square Deviatio 4,713992 Average of Results 83,13625 Weighted Addition 30.
Data were analyzed with the Affymetrix Expression Console tool using the Probe Logarithmic Error Intensity Estimate summary method and sketch quantile normalization (http://www.affymetrix.com/analysis/index.affx).affx
Bivariate model method will be used to estimate summary sensitivity and specificity.
Agreement improved as distance decreased, but the proportion of homes for which we could estimate summary measures also decreased.
A standard meta-analysis to estimate summary effect sizes for all eligible interventions versus all comparators, using metan (Harris 2008).
We used the bivariate random effects model to estimate summary estimates of sensitivity and specificity and their corresponding 95% confidence intervals.
Similar(41)
For binary outcomes, the relative risks of response rate from each study were pooled to estimate summary-effect sizes by using the inverse-variance method.
We used random walk Markov chain Monte Carlo (MCMC) algorithms [ 60, 61] to estimate summaries of the posterior distribution under each of the models.
As stated in a recent article on meta-analysis: "It is well appreciated now that besides estimating summary effects, estimation and, if possible, explanation, of the between-study heterogeneity is a very important goal for meta-analysis"[24].
It is well appreciated now that besides estimating summary effects, estimation and, if possible, explanation, of the between-study heterogeneity is a very important goal for meta-analysis [5].
Reflecting a concern with heterogeneity among estimates, summary averages use random-effects models.
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