Match each epidemiological or clinical research scenario with the most appropriate statistical measure of association or impact that should be calculated.
- A public health department investigates a community outbreak of gastroenteritis to determine the absolute excess incidence of disease directly attributable to consuming water from a contaminated well.Attributable Risk (AR)
- Investigators design a retrospective study selecting infants with a rare congenital cardiac defect and healthy controls to evaluate the association with maternal use of a specific anticonvulsant.Odds Ratio (OR)
- A randomized controlled trial assesses a new monoclonal antibody's efficacy in reducing cardiovascular mortality over 10 years, modeling the instantaneous rate of death while accounting for varying patient follow-up times and dropouts.Hazard Ratio (HR)
- A hospital pharmacy committee evaluates a newly approved oral anticoagulant to determine the absolute number of patients that must be treated to result in one additional major gastrointestinal bleed compared to standard therapy.Number Needed to Harm (NNH)
- A national task force aims to estimate the proportion of all lung cancer cases in the general population that could theoretically be prevented if all cigarette smoking were completely eliminated.Population Attributable Fraction (PAF)
Cevap
1 maps to Attributable Risk (AR); 2 maps to Odds Ratio (OR); 3 maps to Hazard Ratio (HR); 4 maps to Number Needed to Harm (NNH); 5 maps to Population Attributable Fraction (PAF).
Each scenario maps to a unique statistical measure. Case-control designs necessitate Odds Ratios. Survival analysis requires Hazard Ratios to account for censoring. Public health questions regarding exposed groups use Attributable Risk, while population-wide prevention estimates rely on the Population Attributable Fraction. Finally, patient-level counseling on adverse events utilizes Number Needed to Harm.
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Anahtar Kavram
Selection of the correct measure of association or impact depends heavily on study design (e.g., case-control vs. cohort), the handling of time (e.g., fixed follow-up vs. survival analysis), and the scope of interpretation (e.g., exposed cohort vs. general population).
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