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Of particular interest was the variable of prenatal preparation of the perineum.
Where complete separation was evident, i.e. the presence of one or more covariates perfectly predicted the outcome of interest, the variables were deleted from the adjusted analysis.
Figure 3 illustrates the dependencies between the quantities of interest and the variables (in black circles) for the internal system.
In the interest of simplicity, the activation variable m was not raised to any exponent and nor was inactivation included.
However, we addressed this issue partially by considering the average values of the variable of interest at the community level.
Table 1 shows the descriptive statistics of the variable of interest in SEAR countries.
The variance of the Horvitz Thompson estimator is then reduced, since it is approximately given by that of the residuals of the variable of interest on the balancing variables.
The latter involve both the spatial dependence structure of the variable of interest and its relationship with the observable variable.
For multiple imputation, we used age and baseline value of the variable of interest as explanatory variables.
For each model, we obtained an estimate of the variable of interest.
We only considered dichotomous transformations to explore a shape effect of the variable of interest.
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