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The incorporation of these intervention variables to the two models improved the consistency and the efficiency of the estimates.
Omitting these correlations would not cause any bias to the coefficients, though it reduces the efficiency of the estimates.
The bootstrapped regression method has been chosen for this analysis so as to improve the efficiency of the estimates given that the sample is relatively small.
Bootstrapped methods were adopted because they basically replicate the observations to the desired level and improve the efficiency of the estimates especially where the sample is relatively small [25]. .
In this subsample with fewer observations, we include woman's socioeconomic characteristics only, to avoid the consequences of the very likely collinearity between the socioeconomic variables of the woman and her partner on the efficiency of the estimates.
The negativity condition (e ii + w i ηi < 0), however, is not incorporated, partly because there is no reduction in the number of parameters to be estimated and, thus, no gain in asymptotic efficiency of the estimates, and partly to avoid introducing parametric inequality constraints that would increase the complexity of estimation.
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Thus, the efficiency of the estimated comparison largely depends on the choice of the margin parameter.
However, we note that Age may be dropped if it improves the efficiency of the estimate (see [ 6]).
This by implication guarantees a good level of efficiency of the parameter estimates.
We also compare the efficiency of the effect estimates of typical two-phase methods, calculated relative to the ideal (but unrealistic) situation with second-phase data on all study subjects being available.
The labeling efficiency of the peptide estimated from a standard absorbance calibration curve measured at the 475 nm was 56%%.
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