Sample Size Calculation Using Prevalence

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Sample Size Calculation Using Prevalence. Any deviation from an expected prevalence estimate of 50% requires a smaller sample size; Higher requirements for accuracy, e.g., ±1% require a higher sample size than lower accuracy, e.g., ±5%;

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Higher requirements for accuracy, e.g., ±1% require a higher sample size than lower accuracy, e.g., ±5%; If increasing the sample size is genuinely cost prohibitive, perhaps accepting 90% power for a difference of 6.5, rather than 5, is acceptable. Authors must provide detailed information regarding the sample size calculation used when publishing their papers.

The bigger the target population, the bigger the required sample size, tailoring off after about 3,000.

If increasing the sample size is genuinely cost prohibitive, perhaps accepting 90% power for a difference of 6.5, rather than 5, is acceptable. Inputs are the expected incidence in the unexposed cohort, the assumed relative risk, and the desired level of confidence and power for the detection of a significant difference between the two cohorts. It is advisable to take the help of a statistician at this stage of the study as well. Use your process knowledge to make this type of.