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Using focus groups, a household survey, and member-checking interviews with local council chairpersons, binary logistic models were created for the admission of illegal resource extraction from the park.
Six binary logistic models were run, with AMO as the outcome.
A series of binary logistic models were fitted to estimate associations between different transnational family indicators, the specified controls and children's health.
As the response variables were binary, logistic models were used.
Unadjusted and multi-adjusted binary logistic models were performed to examine the association between burnout and the five reproductive health factors.
Separate multivariate binary logistic models were constructed for each parameter of GV in CGM and HbA1c variability, with the presence of CAN as a dependent variable (Table 4).
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The GEE with the binary logistic model was used to correct for clustering on region of residency.
A multilevel binary logistic model was run in Stata 10.1 with separate models estimated for women without children and those with one child.
Finally, a binary logistic model was used to analyze an individual household's choice between having no child health insurance and having child health insurance.
The generalized estimating equation with the binary logistic model was used to correct for possible correlations between pregnancies if the women had participated with more than one pregnancy.
A global goodness-of-fit test for the final binary logistic model is performed by using the method proposed by le Cessie and van Houwelingen (19).
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