Confidence interval of a proportion with over-dispersion

Biometrical Journal

Volumn 44, Issue 7, 2002, Pages 877-886

  Chen, Cong ^a   Tipping, Robert W ^a  

^a MERCK RESEARCH LABORATORIES   (United States)

Author keywords

Clopper Pearson procedure; Cluster randomized clinical trial; Confidence interval estimation; Effective sample size; Ratio estimator

Indexed keywords

FINANCIAL DATA PROCESSING;

CLOPPER-PEARSON PROCEDURE; CLUSTER RANDOMIZED CLINICAL TRIAL; CONFIDENCE INTERVAL; CONFIDENCE INTERVAL ESTIMATION; EFFECTIVE SAMPLE SIZE; NEW APPROACHES; OVER DISPERSION; RANDOMIZED CLINICAL TRIALS; RATIO ESTIMATORS; SAMPLE SIZES;

DISPERSIONS;

EID: 0036429824     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/1521-4036(200210)44:7<877::AID-BIMJ877>3.0.CO;2-7     Document Type: Article

References (8)

1. Agresti, A., 1990: Categorical Data Analysis. Wiley, New York.
2. Agresti, A. and Coull, B., 1998: Approximate is better than exact for interval estimation of binomial proportions. American Statistician 52(2), 119-126.
3. Clopper, C.J. and Pearson, E.S., 1934: The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika 26, 404-413.
4. Henderson, W.G., Moritz, T., Goldman, S. et al., 1988: The Statistical Analysis of Graft Patency Data in a Clinical Trial of Antiplatelet Agents following Coronary Artery' Bypass Grafting. Controlled Clinical Trials, 9(3), 189-205.
5. Kish, L., 1965: Survey Sampling. Wiley, New York.
6. Lee, Eric W. and Dubin, N., 1994: Cluster binary responses. Statistics in Medicine 13, 1241-1252.
7. Rao, J.N.K. and Scott, A.J., 1992: A simple method for the analysis of clustered binary data. Biometrics 48, 577-585.
8. Zucker, D. and Wittes, J., 1992: Testing the effect of treatment in experiments with correlated binary outcomes. Biometrics 48, 695-710.