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Generally, arrays are not "separable", meaning joint estimation will outperform separate estimation.
Only two studies [15], [16] use these data to estimate the overall QALY loss: the first uses a separate estimation of the background quality of life weight based on population estimates and the second a separate estimation of the duration of illness.
When presented alongside the pooled estimates of effect-size (i.e. separate estimation of the distribution of costs and the distribution of effects), these data can provide an indication of the quadrant of the 'cost-effectiveness plane' that an intervention is likely to fall within.
Separate estimation of the terms corresponds to decomposition of process dynamics into deterministic and random components.
Therefore, the approach is more useful than separate estimation of different covariates.
This enabled separate estimation of the effects of the ionosphere and plasmasphere.
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With regard to the second distinction, separate estimations for industry and services yield significant pooled OLS-estimates of the union membership dummy which are about twice as large in magnitude in services as in the industrial sector.
Instead of using separate estimations for each matrix, we are interested in a joint estimation approach.
We also consider separate estimations for the main machinery sectors: electric machinery and transport equipment.
We use both treatments in separate estimations and exclude observations marked by the alternative definition respectively.
Separate estimations for each country using sample weights and 80 replicates for standard errors.
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