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– pedometer-measured steps adjusted for non-ambulatory activities, non-wear time activities, and missing data.
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As long as the nonlinear effects are relatively small in the model, the behaviour can be approximated by a set of linear equations, and then a number of iteration steps adjust for the relatively small nonlinear deviations.
Similarly, 0.1 also is utilized to be the step adjusted for the factor of electricity price compared with maximum price.
After step 1, each step adjusted for the variables included in the previous step(s).
Five imputed data sets were used in each step, adjusted for all sample design features (including sampling weights, stratification, and clustering).
Model A, first step; adjusted for pre pregnancy factors Model B, second step; variables in model A plus conditions in pregnancy, labor and delivery Model C, third step; variables in model B plus neonatal factors §- First ANC visit triggered by health workers Pre-gestational diabetes mellitus was strongly associated with neonatal transfer to NCU (RR 4.4; 95% CI: 3.3-5.8).
Secondly, the multivariable analyses were conducted in three consecutive steps and adjusted for an increasing number of possible confounders in each step.
Step 2 adjusted for the same variables as in Step 1 plus the presence or absence of major depression.
In the first step we adjusted for age and gender (Model 1); in the second step we adjusted for age, gender, and waist circumference (Model 2); and in the third model we adjusted for age, gender, waist circumference, ALAT, C-peptide, and fasting blood glucose levels.
As this study was nested in a clinical study, in the first step we adjusted for allocation in the clinical study, and in the second step we adjusted for allocation in the clinical study as well as for age and gender.
Step 2 adjusted for sector of birth.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com