An introduction to power and sample size estimation
By Steve Jones, S. Carley, M. Harrison. Emergency Medicine Journal, 2003
631 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4f6737916ae8af594c78e7f7b860e5a1109c840f
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Citations in the corpus
- Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses (2024, neutral): “54 This underscores the importance of conducting additional original research and subsequent meta-analyses in the respective disease areas.”
- How to calculate sample size in animal studies? (2013, methodology): “For simple statistical tests such as Students t‐test or Chi‐square test, manual calculation based on formula can be carried out [Appendix], but for complex tests like ANOVA or non‐parametric tests help of statistician or use of software is needed[2,4] • Expected attrition or death of animals: Final ”
- Evaluation of a decided sample size in machine learning applications (2023, background): “Small studies have a lower probability of producing true effects because of the higher chance of type I or II error [2, 3].”