Simplified Sample Size Formulas for Detecting a Medically Important Effect.
Ontology highlight
ABSTRACT: The sample size is just about the most common question in the minds of many medical researchers. This size determines the reliability of the results and helps to detect a medically important effect when present. Some studies miss an important effect due to inappropriate sample size. Many postgraduate students and established researchers often contact a statistician to help them determine an appropriate sample size for their study. More than 80 formulas are available to calculate sample size for different settings and the choice requires some expertise. Their use is even more difficult because most exact formulas are quite complex. An added difficulty is that different books, software, and websites use different formulas for the same problem. Such discrepancy in the published formulas confo
SUBMITTER: Indrayan A
PROVIDER: S-EPMC11198523 | biostudies-literature | 2024 May-Jun
REPOSITORIES: biostudies-literature
ACCESS DATA