1 |
Agresti A (2013). Categorical Data Analysis (3rd ed), John Wiley & Sons, Hoboken, NJ.
|
2 |
Cochran WG (1977). Sampling Techniques (3rd ed), John Wiley & Sons, Hoboken, NJ.
|
3 |
Crowder MJ (1978). Beta-binomial ANOVA for proportions, Journal of the Royal Statistical Society, Series C: Applied Statistics, 27, 34-37.
|
4 |
Donner A (1989). Statistical methods in ophthalmology: an adjusted chi-squared approach, Biometrics, 45, 605-611.
DOI
|
5 |
Jeong KM (2015). Goodness-of-fit for the clustered binomial models, Journal of the Korean Data Analysis Society, 17, 1725-1737.
|
6 |
Jeong KM and Lee HY (2013). Modeling overdispersion for clustered binomial data, Journal of the Korean Data Analysis Society, 15, 2343-2356.
|
7 |
Paul SR (1982). Analysis of proportions of affected foetuses in teratological experiments, Biometrics, 38, 361-370.
DOI
|
8 |
Rao JNK and Scott AJ (1992). A simple method for the analysis of clustered binary data, Biometrics, 48, 577-585.
DOI
|
9 |
Reed JF (2004). Adjusted chi-square statistics: application to clustered binary data in primary care, Annals of Family Medicine, 2, 201-203.
DOI
|
10 |
Ridout MS, Demetrio CGB, and Firth D (1999). Estimating intraclass correlation for binary data, Biometrics, 55, 137-148.
DOI
|
11 |
Wedderburn RWM (1974). Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method, Biometrika, 61, 439-447.
|
12 |
White H (1982). Maximum likelihood estimation of misspecified models, Econometrica, 50, 1-25.
DOI
|
13 |
Williams DA (1982). Extra-binomial variation in logistic linear models, Journal of the Royal Statistical Society, Series C: Applied Statistics, 31, 144-148.
|