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The results showed first that it was possible to detect a risk of preterm labor as early as 27 weeks of gestation with a classification accuracy of 87%.
To detect a risk difference for bowel injury from 0.3%to0.2%2%, over 800,000 patients would be needed for inclusion in an RCT [10].
By raising awareness, informing on potential indicators to detect a risk and underlying existing options to mitigate risks, education can improve response capability and resilience to natural hazards.
In this review article, we propose 10 criteria for evaluating the effectiveness of a screening test designed to detect a risk factor for disease (ie, calcium scoring as a risk factor for coronary artery disease).
Thus, we determined that the case-MTLE sample in the first MTLE study had 79% power to detect a risk allele with 15% frequency and using an additive genotype model at alpha of 0.0071.
This systematic review had adequate power to detect a risk reduction of this magnitude.
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To detect A(H7N9), systematic, risk-based surveillance and sampling of asymptomatic poultry is more appropriate.
Assuming an average follow-up duration of 2.5 years and an overall attrition rate of 25% (including 5% cumulative mortality rate), the sample size of 3000 drivers would generate a total of 5600 person-years of observation and ensure a study power of over 80% for detecting a risk ratio of 3.0 with adequate adjustment for age.
At an α level 0.05 and a β level of 0.80, the required sample size is estimated to be approximately 360 person-years for each single-year age stratum between 65 years and 79 years, or 5400 person-years in total for detecting a risk ratio of 3.0.
Our results are consistent with prior reports which detected a risk of GI bleed among SSRI-treated patients.
The study has 80% power for detecting a risk difference of 7.5% associated with each determinant from a baseline risk of 21%, at an α of 0.05.
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