Sample size calculation Sample Clauses
The Sample Size Calculation clause defines how the number of participants or units required for a study or project is determined. It typically outlines the statistical methods, assumptions, and parameters—such as expected effect size, significance level, and power—that will be used to calculate the appropriate sample size. This clause ensures that the study is adequately powered to detect meaningful effects, thereby supporting the validity and reliability of the results while preventing unnecessary resource expenditure.
Sample size calculation g., Reason for choice of sample size, including reflections on (or calculations of) the power of the trial/ study and clinical justification. What approach will be used (i.e., statistical, thematic approach, etc.) How will you analyze your data (i.e., reviewers, SAS, SPSS, Excel, etc.) What are the procedure for accounting for missing, unused, and spurious data? What is your statistical plan? Describe this in detail, for example, paired t-tests will be used to determine if there are statistical significant differences between XXX before and after the intervention. Or, themes will be created until the data has reached saturation.
Sample size calculation. The sample size needed for the study was calculated in accordance with previously published data that showed a standard deviation for CD16+ monocytes and total monocytes within a healthy population of 5 %, with a difference in means between pre and post-immunisation values of 7.5 % 31. Using a minimum detectable difference in means between anti-platelet treatments and placebo at the end of the study of 4 %, at power 0.9 and significance level 0.05, this yielded a sample size of 15 per group.