The generalized estimation equation (GEE) method, one of the generalized linear models for longitudinal data, has been used widely in medical research. However, the related sensitivity analysis problem has not been explored intensively. One of the possible reasons for this was due to the correlated
A general log-linear model for the analysis of band recovery data
โ Scribed by Michael C. Cooper; Douglas G. Bonett; Mohammed A. El-Saidi
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 174 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1180-4009
No coin nor oath required. For personal study only.
โฆ Synopsis
Many current methods of analyzing band recovery data are described by the classic monograph Statistical Inference from Band Recovery Data ยฑ A Handbook of Brownie et al. (1985). A log-linear model with restricted minimum modiยฎed transformed chi-square estimation and Wald type testing are proposed. The proposed model provides a general theory of band recovery sampling which uniยฎes Brownie et al. (1985) models within a log-linear framework. A general closed form estimator of recovery and survival rates is developed. Further, a general goodness of ยฎt and hypothesis testing framework is presented.
๐ SIMILAR VOLUMES
This paper extends four goodness-of-รฟt measures of a generalized linear model (GLM) to random e ects and marginal models for longitudinal data. The four measures are the proportional reduction in entropy measure, the proportional reduction in deviance measure, the concordance correlation coe cient a
The numerical modeling of the electrical point connection of two surfaces is analyzed. A new numerical model is defined and a solution is proposed for the modeling of a loaded punctual connection.
Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each individual and then regress the summary measures on between-subject covariates
tenna array, it not only can have more power gain, but also effectively suppress the reflected signal without using longer lines or substrate material of larger height. Hence, the system can distinguish the true main beam correctly.