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The physiopathology of malaria in pregnancy is difficult to scrutinize and attempts were made in the past to use animal models for pregnancy malaria studies.
Additional variables which were significant at p<0.20 in the univariate analyses were candidates for inclusion in final multivariable logistic regression models for pregnancy intention.
The final logistic regression models for pregnancy outcome included statistically significant variables and clinically plausible interactions only.
Using methods previously described 48 and all births in 2001 2002, two multivariable logistic regression predictive models for pregnancy hypertension were developed.
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Using this criterion, we also adjusted the final models (model C) for pregnancy, antiviral drug use, presence of a chronic or immunocompromising medical condition, and number of hospital admissions and family physician visits in the previous 12 months.
Target, a large retailer, created a model for pregnancy prediction.
Compared to the first unadjusted model, adjustment for pregnancy characteristics revealed overall lower OR's while adjustment for medical interventions led to an ambiguous effect on the OR's.
Subsequently a number of models were considered consisting of a number or all the covariates included in the final logistic models in either the E and U with the choice of the final model being made by the models predictive abilities for pregnancy and multiple pregnancy.
Average air pollution exposures derived from the CALINE4 model for each pregnancy period and during the entire pregnancy were similar and moderately to strongly correlated (Table 2).
In addition to estimating sensitivity and specificity for each relevant cut-off, we will build predictive models that use the score on the screening questionnaire (combined model or separately for pregnancy and postpartum) and any other key factors that account for substantial heterogeneity to estimate the probability that a woman has major depression.
To determine if a combination of first and second trimester serum biomarkers (pregnancy-associated plasma protein A (PAPP-A), free βhCG, and maternal serum alpha-fetoprotein (msAFP)) may be utilized to develop a predictive model for adverse pregnancy outcomes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com