Development↦Statistic Methodology↦Sample Size↦Justification
Was betrifft es? Warum ist das wichtig?
The sample size consists of a subset of individuals selected from a larger population, and who they are meant to represent.
The statistical power of a study is directly related to the sample size. In other words, a larger sample size will more accurately represent the population under investigation. Thus, the sample size has a direct effect on the precision and accuracy of study results, including the ability to detect a real effect (e.g. the ability of an interventional drug to lower blood pressure in participant with high blood pressure).
When planning a study, it is important to justify the defined sample size of the study. The study sample size is calculated by the study statistician.
Was muss ich befolgen?
As a SP-INV, based on the aim of your study explain how the sample size and its subsequent collected data are expected to provide valuable scientific information.
Aspects to consider include:
- The outcome/endpoint of your study (e.g. cholesterol concentration)
- The method you use for the sample size estimation
- The statistical framework, which can either be:
- Hypothesis testing (e.g. you want to test the difference in cholesterol concentration between two patient groups). Define the null and alternative hypothesis
- Precision-based (e.g. you want to estimate the mean in cholesterol concentration of a certain group of patients). Define the type I error and power
- The assumption/previous knowledge which were used as a basis for the sample size calculation (e.g. we expect a mean value of 5.2 mmol/L and a standard deviation of 1.5)
Wo kann ich Hilfe anfordern?
Your local Research Support Centre↧ can assist you with experienced staff regarding this topic
Basel, Departement Klinische Forschung (DKF), dkf.unibas.ch
Lugano, Clinical Trials Unit (CTU-EOC), ctueoc.ch
Bern, Department of Clinical Research (DCR), dcr.unibe.ch
Geneva, Clinical Research Center (CRC), crc.hug.ch
Lausanne, Clinical Research Center (CRC), chuv.ch
St. Gallen, Clinical Trials Unit (CTU), h-och.ch
Zürich, Clinical Trials Center (CTC), usz.ch
References
ICH GCP E6(R3) Guideline – see in particular:
- Essential records table: documentation statistical consideration
- 3.11.4.5.4 Monitoring of clinical trials
- 3.16.2 b Statistical programming
- Appendix B. The protocol – B.10 Statistical considerations
ICH Topic E9 – see in particular
- 3.5 Sample Size
- 4.4 Sample size adjustment
ICH Topic E8(R1) General considerations for clinical studies - see in particular
- 5.1 Study population
- 5.6 Statistical analysis