"observable risk" is a correct and usable phrase in written English.
It is typically used to refer to a risk that is visible, measurable, or easily noticed in a certain situation or context. Example: The financial report highlighted the company's observable risks, such as changes in market trends and increased competition from rival companies.
Mortgages included in securities designed for the GSEs performed better than those backing other securities in the same deals, holding observable risk constant.
Epidemiologic information, including animal characteristics (e.g., observable risk factors or clinical signs) predisposing to animal disease, is frequently used for design of targeted surveillance systems, but this information is infrequently used for population inference.
All of these terms can be estimated directly based on observable risk factors using data from the case control study.
We used analysis of Population Attributable Risk (PAR) to estimate the proportion of women in the population whose non-screening could be attributed to readily observable risk factors.
For example, in some countries with well supported services effectively serving high risk vulnerable groups of elderly living alone, there may be no observable risk of excess mortality.
Because it tends, on average, to reduce the observable risk below the true value in cohort and case control studies, that is, to induce false-negative results, this effect can be substantial.
Approximately 75% of non-participation in cervical cancer screening within the recommended two-year period was attributable to these observable risk-factors; or 50% of non-participation if overall health service use was not accounted for.
A summary PAR showed that effective targeting of women with readily observable risk-factors (no children, no partner, receiving income support payments, not working, obese, current smoker, anxiety, poor physical health, and low overall health service use) could potentially reduce overall non-participation in screening by 74%.
Higher CCI was expected in younger children and in the domains assessing more observable aspects (Risk Avoidance and Resilience).
If we were to eliminate racial differences in observable modifiable risk factors, how much would we expect racial disparities in blood pressure to be mitigated at each point in the blood pressure distribution?
We compare the models to determine if they make the same predictions about observable recurrence risks and to investigate which model best fits the observed estimates.
