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The model included baseline lactate as its strongest component, as well as age over 75 years, acute coronary syndrome as the etiology of CS, previous history of myocardial infarction or coronary artery bypass surgery, altered mental status at presentation, renal function, and left ventricular ejection fraction below 40% at baseline.
To quantitatively measure the effect of antibody fluctuation on NPC risk, the second model included baseline measurement as constant variable, and the differences between each repeated test and baseline measurement as time-varying variables.
The model included baseline, treatment, study, tiredness subgroup, and treatment-by-tiredness subgroup interaction.
For the analysis by sex, the model included baseline eGFR and center as covariates.
The first multivariable analysis model included baseline glycemia measures to examine whether they related to the chosen outcome measures (model 1).
The fixed effects specified in the model included baseline values (age, sex, vintage and comorbidity) and study week (0 12 weeks).
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In a study that followed children from 3 to 6 years, a model including baseline BMI and PA predicted only 65% of the variance in follow-up BMI [41], compared with 93% in our study.
Groups were compared using an ANCOVA model including baseline values as covariates.
We then re-tested any significant differences using this multivariate model including baseline scores.
Adjusted mean changes obtained by ANCOVA model including baseline value as a covariate to account for a possible baseline imbalance were generally comparable with these unadjusted mean values.
Adjusted model includes baseline symptom severity (RSS-4), physical functioning (SF-12 PCS), psychological distress (CES-D), and perceived control of disease (PCRQ).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com