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Therefore, the approach adopted here was the proportional hazards model proposed by Fine and Gray, 20 based on direct regression modelling of covariates on the cumulative incidence function (CIF).
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Regression modelling for average lifetime direct costs used General Estimating Equations (GEE) analysis.
The use of multivariate logistic regression modelling however is robust in the face of non-normally distributed data and lack of randomisation; nor are direct cohort comparisons required.
Logistic regression modelling.
Chosen predictors were entered into the direct logistic regression model.
Table 4 shows the results of direct logistic regression models for potential predictors of breastfeeding exclusivity for 6 months.
Associations between simplified PESI scores and clinical outcomes were also assessed and p-values are presented (Wald chi-square test for the factor effect) from the corresponding direct logistic regression models.
Clinical outcomes are presented as percentage incidences, together with odds ratios (ORs) and 95% confidence intervals (CIs) for the factors (treatment group and PESI scores) estimated using direct logistic regression models.
Land use regression modeling.
The direct binary logistic regression models used only significant variables.
Three direct entry linear regression models were fit, one each for FDK, center-based childcare, and home-based childcare.
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