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All variables with a p value of <0.2 in a primary univariate analysis were included in the multivariate model, except for admission categories; admission categories were included even when the p value was >0.2 in the univariate analysis.
All factors had estimated mean changes in BMI that were positive and significantly different from zero (all p-values<0.001 p-values<0.001arinthemultivariatet for being obese at baseline (modelchangexcept.18, p = 0.23) and developing an AIDS diagnosis (mean change = 0.03, p = 0.80).
All of these variables were retained for use in the multivariate model except the two relating to social life.
The significant associations noted in the univariate analyses were upheld (although generally attenuated) in the multivariate model, except for chemotherapy.
Variables with statistical significance (p < 0.05) in the univariate analysis were initially used for the multivariate model, except for type of surgery, performing axillary node dissection, and use of neoadjuvant therapy, since we had incomplete data on treatment, to avoid biasing the results.
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We adjusted for possible confounders of baseline vitamin D levels and age, WHO HIV disease stage and CD4 T-cell count at baseline, and treatment regimen as a priori risk factors for the outcomes in all multivariate models, except for change in T-cell counts.
All variables associated in bivariate analysis were also associated in multivariate models, except for the age of the child.
Variables with a P-value <0.25 in these analyses were included in our multivariate models, except MIB-1 for which too many data were unavailable.
As these dependent variables might also be influenced by their gender, qualifications, etc., those basic characteristics were also included in the multivariate models, except for the practicing method, which was not significant in the univariate and multivariate regression models.
The inclusion of propensity score provided estimates similar to those in the multivariate models except that group differences in total health care costs at year 2 reached statistical significance with the propensity score model (P = 0.06 vs. P = 0.03).
The initial model was based on the covariates in Table 2 An identical modelling process served for GEE ns = not statistically significant at the 5% level Physical IPV during pregnancy showed the strongest association with maternal morbidity in all multivariate models except the small group of Bauchi women who had home visits after delivery.
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