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This baseline was calculated using age-specific count-event models that included indicators for calendar week, cyclical terms to account for seasonality and one indicator for influenza activity (proportion of positive rapid influenza tests)[34], [35], [36].
Body mass index at baseline was calculated using home visit measurements of weight (pounds) and height (inches).
The six symptom items' [average symptom burden index (ASBI)] mean at baseline was calculated using the lung cancer symptom scale (LCSS).
Item 8 (key outcome measures were obtained for more than 85% of participants who were assessed at baseline) was calculated using data for each group (rather than for the pooled intervention and comparison group) when relevant data were reported.
In this study, the eGFR at baseline was calculated using the MDRD study formula (eGFR = 186 × Cr 1.154 × age 0.203 × 1.212 [if black] × 0.742 [if female], where Cr is the serum creatinine concentration in mg/dL).
A propensity score (that is, probability of receiving intravenous steroid therapy for septic shock at baseline) was calculated using a multivariable logistic regression model after adjusting for clinically relevant patient characteristics at baseline.
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To assess anthropometric measures at baseline in relation to incidence of BCC 1992 1996, relative risks (RR) for the binary outcome (new BCC 1992 1996 or no BCC ever) associated with weight quartiles, height quartiles, BMI, waist circumference and waist/hip ratio categories at baseline were calculated using a Poisson regression with robust error variance [ 24].
For the olefinic and glyceride peaks, baselines were calculated using polynomial fitting.
Baselines were calculated using a third-order polynomial equation to fit the data using SigmaPlot as previously described (Wallis et al. 2004).
Baseline WHtR was calculated using the value for the waist in 2010 divided by the value for height in 2010.
Baseline eGFR was calculated using the four-variable Modification of Diet in Renal Disease (MDRD) equation [ 5].
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