On the sample size for studies based upon mcnemar's test
Abstract
When computing the sample size for studies using McNemar's test, one needs to know the probability of discordance and the odds ratio to be detected. In many studies, the investigator is unable to specify the probability of discordance, but can state, at least approximately, the marginal probabilities of each variable. This information leads to restrictions on the possible values of the cell probabilities and provides a range of admissible values for the off-diagonal cells. We compute the sample size needed in these circumstances and compare them to the results cited by Schlesselman and Connett et al. These sample sizes for the method are quite close to those found in the Monte Carlo study of Connett et al.
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MDEs using Lachenbruch's suggested default prior are very similar to those found by using the regression-based approach.
“Lachenbruch (1992) provides a suggested default prior, and we find that MDEs using this method are very similar to those found by using the regression based approach.”
From With Little Power Comes Great Responsibility (2020) · cites this paper as Lachenbruch, 1992
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- Authors
- Lachenbruch, P. A.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Lachenbruch, Peter A.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1992-01
- Volume
- 11
- Issue
- 11
- Pages
- 1521-1525
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2166269121
- Cited by
- 47
- References
- 5
- Citations by year
- 2026: 2 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 2 · 2020: 2 · 2018: 3 · 2016: 3 · 2015: 1 · 2014: 1 · 2013: 3 · 2012: 1
- FWCI
- 1.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Statistics in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (CA-16042-15, P30CA016042)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- sample size determination, McNemar test, odds ratio, marginal probabilities, cell probabilities, matched pairs
- MeSH terms
- Antibodies, Monoclonal, Humans, Monte Carlo Method, Probability, Sampling Studies, Models, Statistical, Binomial Distribution
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