2017
DOI: 10.1201/9781315183084
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Sample Size Calculations in Clinical Research: Third Edition

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Cited by 372 publications
(209 citation statements)
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“…A post hoc analysis comparing two proportions for evaluation of noninferiority was performed to calculate the power of our analysis in detecting noninferiority between the proportion of complications in both groups 12 .…”
Section: Overlapping S U R G E Ry I N T H E a M B U L Ato Ry Orthopaementioning
confidence: 99%
“…A post hoc analysis comparing two proportions for evaluation of noninferiority was performed to calculate the power of our analysis in detecting noninferiority between the proportion of complications in both groups 12 .…”
Section: Overlapping S U R G E Ry I N T H E a M B U L Ato Ry Orthopaementioning
confidence: 99%
“…The required study sample size was calculated to identify differences in plaque control effects between the intervention and control groups 27,28 . The calculation of the effective sample size considering a 1:1 allocation at a statistical significance level ⍺=0.05, Z⍺ /2 =1.96, and statistical test power Z β =0.84 found that 20 people were needed in each group.…”
Section: Samplementioning
confidence: 99%
“…Considering a drop-out rate of 20%, a total of 322 subjects were planned to be randomized for the study. Sample Size was calculated by using the power analysis of following test for non-inferiority by normal approximation [25] ( ) CI. Categorical variables were presented with number of exposed subjects, and number (N) with percentages.…”
Section: Discussionmentioning
confidence: 99%