Multivariate Probit Analysis of Binary Time Series Datawith Missing

@inproceedings{CzadoDepartment1996MultivariatePA,
  title={Multivariate Probit Analysis of Binary Time Series Datawith Missing},
  author={ResponsesClaudia CzadoDepartment},
  year={1996}
}
  • ResponsesClaudia CzadoDepartment
  • Published 1996
SUMMARY The development of adequate models for binary time series data with covariate adjustment has been an active research area in the last years. In the case, where interest is focused on marginal and association parameters, generalized estimating equations (GEE) (see for example Lipsitz, Laird and Harrington (1991) and Liang, Zeger and Qaqish (1992)) and likelihood (see for example Fitzmaurice and Laird (1993) and Molenberghs and Lesaare (1994)) based methods have been proposed. The number… CONTINUE READING
Highly Cited
This paper has 18 citations. REVIEW CITATIONS