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Using gpower to calculate sample size series#

However, another factor influences the possibility that our results may be incorrect, the number of patients studied. Clearly we can reduce the possibility of our results coming from chance by eliminating bias in the study design using techniques such as randomisation, blinding, etc.

Using gpower to calculate sample size series#

In previous articles in the series on statistics published in this journal, statistical inference has been used to determine if the results found are true or possibly due to chance alone. We then use this sample to draw inferences about the whole population. Nearly all clinical studies entail studying a sample of patients with a particular characteristic rather than the whole population. Here you will find options to view and activate subscriptions, manage institutional settings and access options, access usage statistics, and more.Power and sample size estimations are measures of how many patients are needed in a study. If you believe you should have access to that content, please contact your librarian.įor librarians and administrators, your personal account also provides access to institutional account management. The institutional subscription may not cover the content that you are trying to access. Oxford Academic is home to a wide variety of products.

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