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7 Moreover, a general classification system has been introduced for biomarkers that discriminates type 0 biomarkers, which measure the natural history of a disease and correlate over time with established clinical indicators; type I biomarkers, which indicate the intervention effect of a drug; and type II biomarkers, which are considered as surrogate endpoint biomarkers.
Further developments will focus on testing the sensitivity of the method to changes in its components (e.g., shape of membership functions of indicators, type of aggregation operations) and variations of indicator values, comparing F-BEM with other evaluation methods (e.g., Multi-Objective Analysis) and testing the method on other case studies.
The quality of data was found to be variable across the eight indicators (type of visits) assessed (Table 5).
After adjustment for the other variables in the model, no statistically significant differences were observed for census- based socioeconomic indicators, type of insurance, whether the cancer was screen detected, or comorbidity score.
Variables at the individual level included demographic characteristics (sex, age, and employment); morbidity indicators (type of healthcare problem and perceived severity of the health problem); and healthcare access indicators (social security insurance and SP).
20 34–36 After preliminary analysis, 34 we included the following variables in the multiple imputation models: age in years, gender and IMD quintile, 31 health indicators: smoking status (three categories, non-smoker, ex-smoker and current smoker), height, weight, systolic and diastolic blood pressures and disease indicators: type II diabetes, CHD and cerebrovascular accident.
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A simple to use indicator type readout device is reported which can be used by milk community people.
Table 1 gives an overview of all the research indicators used in this study, their respective definition, the unit of measurement applied, the indicator type, and also details of the indicator source and period.
This indicator type was associated with <1% of surgeries in the other three claims systems.
The infection indicator type most responsible for this difference was antimicrobial agents, which were found after 41% of procedures with reconstruction but only 9% of limited procedures.
One indicator type addresses the number of drugs within the DU90% segment (defined as substance of the same ATC code, fifth level).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com