On the sample size for studies based upon mcnemar's test
- 1 January 1992
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 11 (11) , 1521-1525
- https://doi.org/10.1002/sim.4780111110
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.Keywords
This publication has 8 references indexed in Scilit:
- The 2 x 2 Matched-Pairs Trial: Exact Unconditional Design and AnalysisBiometrics, 1991
- Sample Size for Testing Differences in Proportions for the Paired-Sample DesignBiometrics, 1987
- Sample size and power for pair‐matched case‐control studiesStatistics in Medicine, 1987
- Sample Size for Individually Matched Case-Control StudiesBiometrics, 1986
- Factors determining steric course of enzymic glycosylation reactions: glycosyl transfer products formed from 2,6-anhydro-1-deoxy-D-gluco-hept-1-enitol by .alpha.-glucosidases and an inverting exo-.alpha.-glucanaseBiochemistry, 1982