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The representation of protein data must be standardized to compare proteomics results worldwide.
Calcified plaque scores are considered as continuous variables and standardized to compare relative effects.
C3, FH and the C3/FH ratio were standardized to compare effect sizes across analytes.
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Data were direct-age-standardized to compare disease prevalence.
We used standardized values to compare coefficients across variables, so coefficients indicate the change in the odds for an increase of one standard deviation for a given independent variable.
We used standardized differences to compare baseline characteristics of cases and controls.
We computed standardized coefficients to compare slope coefficients directly between one another (Menard 2002).
We used standardized difference to compare baseline characteristics between patient cohorts.
Furthermore, we are not aware of any published study yet that has used standardized instruments to compare patterns and correlates of HPV infection or cervical cancer between rural and urban areas within the same sub-Saharan African country.
To compare incidence rates we standardized to the European standard population.
Non-conventional cardio-metabolic risk factors considered included: fat mass, leptin, LDL particle size, apolipoprotein B, fasting insulin, adiponectin, ultrasensitive CRP, serum uric acid, homocysteine, and gamma-glutamyltransferase. We used adjusted standardized multivariable regression to compare the association of each cardio-metabolic risk factor with albumin-corrected serum calcium.
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