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It is recommended that you model this outcome with a generalized linear mixed model, using a binomial error distribution.
Until there is an adequate explanation and association between the mortality risk and level of glycaemic control we are unable to effectively model this outcome with adequate understanding.
Nevertheless, if the death rate is in the range suggested by the model, this outcome would make it the worst internal demographic event since the 1918 influenza pandemic for many Pacific Island countries and areas.
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Delay of delivery was consistently reported and thus the model fits this outcome best.
During pregnancy, the model for this outcome included maternal atopy and presence of furry pets.
A stepwise selection logistic regression procedure [ 21] was used to develop a statistical model of this outcome (see Figure 1).
Because the numbers of stillbirths were small, we did not attempt to build a full multivariable model for this outcome.
Because the dependent variable (having a tocolytic hospitalization) was binary, we estimated a probit model for this outcome.
In the model using this outcome coding, the odds ratios maintained their direction of effect, but only income and prenatal care adherence remained significant.
Our final model for this outcome included three terms or groups of terms: three indicator variables for MeHg dose, any Hg vapor exposure, and their interactions.
ER activity also significantly influenced survival with a decrease in hazard ratio of 0.65 for every doubling of ER level, displacing PgR from the model for this outcome.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com