Confidence intervals from the difference between two correlated proportions

Journal of the American Statistical Association

Volumn 85, Issue 412, 1990, Pages 1154-1158

  Lloyd, Christopher J ^a  

^a LA TROBE UNIVERSITY   (Australia)

Author keywords

Conservative coverage; McNemar s test; Nuisance parameter

Indexed keywords

EID: 0004594715     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.1990.10474989     Document Type: Article

References (11)

1. Armitage, P., and Berry, G. (1987), Statistical Methods in Medical Research, London: Blackwell Scientific Publications.
2. Blyth, C. R. (1986), “Approximate Binomial Confidence Intervals,” Journal of the American Statistical Association, 81, 468–474.
3. Blyth, C. R., and Still, H. A. (1983), “Binomial Confidence Intervals,” Journal of the American Statistical Association, 78, 108–116.
4. Casella, G. (1986), “Refining Binomial Confidence Intervals,” Canadian Journal of Statistics, 14, 113–129.
5. Cox, D. R. (1970), Analysis of Binary Data, New York: John Wiley.
6. Fleiss, J. L. (1981), Statistical Methods for Rates and Proportions, New York: John Wiley.
7. Johnson, N. L., and Kotz, S. (1970), Discrete Distributions, Boston: Houghton Mifflin.
8. McNemar, Q. (1947), “Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages,” Psychometrika, 17, 153–157.
9. —— (1949), Psychological Statistics, New York: John Wiley.
10. 2 in 2 × 2 Contingency Tables,” Journal of the American Statistical Association, 75, 386–394.
11. Wypij, D., and Santner, T. J. (1989), “Interval Estimation of the Marginal Probability of Success for the Beta-Binomial Distribution,” Technical Report 795, Cornell University.