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Examples of these measures include: the creation of public policy, education of workers and management about the risks, promoting smoking cessation, checking workers for early signs of COPD, use of respirators, and dust control.
Examples of these measures include prescribing moderate dose statins to patients with diabetes over age 40 years, or prescribing an ACE-inhibitor or angiotensin receptor blocker to patients with albuminuria.
Examples of these measures include disease-specific measures, such as the Psoriasis Symptom Assessment (PSA) scale, Patient's Global Assessment of Psoriasis, the Dermatology Life Quality Index (DLQI), and generic instruments such as the Short Form-36 Health Survey (SF-36).
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The class of these measures include random Gamma measures and path space measures of Lévy subordinators as particular examples.
Examples of these efficiency measures include lighting retrofits, building re-commissioning, and upgrades to heating and air conditioning systems.
Examples of adaptation measures include using water resources more efficiently, adapting building codes to be able to withstand extreme weather events and building flood defences.
Examples of such measures include tax cuts implemented to increase potential output and tax changes imposed by external bodies, such as the European institutions.
Such a cost function can be constructed using some measure of distance between X and the product U W. Examples of such measures include Euclidean distance and Kullback-Leibler (KL) divergence [50, 54 57].
Examples of such measures include the EQ-5D and the SF-6D [ 6, 7].
Examples of such measures include targeted delivery of individualized, albeit expensive treatments, resource-intensive active case finding, and, in extreme cases, isolation [ 75, 76].
Examples of such measures include screening tools and diagnostic measures, where the validity of the measure is assessed using (probabilistic) classification methods against a clinical standard, including demonstration of the positive/negative predictive value and sensitivity/specificity of resulting classifications.
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