Springer Verlag;Berlin/Heidelberg: Springer Berlin Heidelberg
摘要:
摘要： A new means of estimating the correlation coefficient for cluster binary data in the regression settings is introduced. The creation of this method is founded upon the violation of Bartlett’s second identity when adopting the binomial distributions to model binary data that are correlated. The new methodology applies to any sensible link functions that connect the success probability and covariates. One can easily implement the procedure by using any statistical software providing the naïve and the sandwich covariance matrices for regression parameter estimates. Simulations and real data analyses are used to demonstrate the efficacy of our new procedure. 其他題名： Comput Stat 出版者： Berlin/Heidelberg: Springer Berlin Heidelberg 出版日期： 2013-08 出處： Computational statistics, 2013-08, Vol.28 (4), p.1681-1698 資源來源： SpringerLink Journals 版權： Springer-Verlag Berlin Heidelberg 2012 版權： Springer-Verlag Berlin Heidelberg 2013 識別號： ISSN: 0943-4062 識別號： EISSN: 1613-9658 識別號： DOI: 10.1007/s00180-012-0372-7
