random effects model


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random effects model

A statistical model that may be used in meta-analysis, in which both within-study sampling error (variance) and between-studies variation are included in assessing the uncertainty or confidence interval of the results of the meta-analysis.
References in periodicals archive ?
In the econometric analysis carried out as the Hausman statistic is not systematic, fixed effects is favored over the random effects model.
Medicare's HC website utilizes indirect standardization for public reporting by examining the predicted rate of mortality over the expected rate of mortality at each hospital, where "predicted" refers to a prediction made by the HC random effects model (a model that does not include hospital characteristics) and "expected" is derived from a model that utilizes only patient characteristics in the model.
From the random effects model, it is evident that linkages among ICT intensity, royalty intensity, R&D intensity and TFP exist.
960) for the nasal quadrant; meta-analysis using a random effects model in these 6 studies found a WMD of -9.
Initially, it is noticed that, together, the p value of the Breusch-Pagan's LM test, Chow's F-test, and Hausman's test indicate that the random effects model is appropriate at the 1% significance level.
Considering the wage effect coefficients of the random effects models for contract pairs and employers, all worker groups with some productivity risk exhibited negative wage effects compared with Group G1 with the certain productivity outcome (see Table 4).
085) Random Effects Model Predictor Estimate ([beta]) 95% CI for [beta] Intercept 9453.
Finally, the individual prices are grouped in 73 different categories and studied as a panel in a random effects model for the months starting on July 2006 and finishing on February 2013.
On the basis of the Hausman test the hypothesis of random effects model was rejected ([chi square](6) = 11.
Study-specific relative risks with 95% confidence intervals were pooled using a random effects model.
The accuracy of these estimations depends on the amount of data available for each teacher and is based on a random effects model (Kupermintz, 2003).