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Sample Size for Surveys  - Review
After reading this course I expect you will have a basic knowledge of the computation of the sample size needed in a survey to estimate a Prevalence or an Odds Ratio with as given precision.
Always remember that the Sample Sizes estimated are just approximations The values used in the formulae given are estimations and subject to error, also the new sample will never have the same prevalence as the other sample from where the estimation comes.
Always try to err in a conservative way, i.e. estimate a sample size greater than what is really needed. Excess precision is not bad, only expensive. Low precision is not only bad but a waste of resources, work and time. And the results obtained will be useless for another application.
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