๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Modelling Heterogeneous Dispersion in Marginal Models for Longitudinal Proportional Data

โœ Scribed by Peter X.-K. Song; Zhenguo Qiu; Ming Tan

Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
238 KB
Volume
46
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Automatic smoothing parameter selection
Automatic smoothing parameter selection in non-parametric models for longitudinal data
โœ Berhane, Kiros ;Rao, J. Sunil ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 103 KB ๐Ÿ‘ 1 views

The selection of smoothing parameters by generalized cross-validation (GCV) becomes complicated when dealing with correlated data. In this paper, we develop an automatic algorithm for selection of smoothing parameters in non-parametric longitudinal models by combining the BRUTO algorithm of Hastie (

Item response models for longitudinal qu
Item response models for longitudinal quality of life data in clinical trials
โœ Jeffrey A. Douglas ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 140 KB ๐Ÿ‘ 2 views

Assessment of quality of life is becoming standard in clinical trials. A popular method for measuring quality of life is with instruments which utilize multiple-item subscales, in which each item is scored on a Likert scale. Most statistical methods for the analysis of quality of life data in clinic

Compliance in an anti-hypertension trial
Compliance in an anti-hypertension trial: a latent process model for binary longitudinal data
โœ David M. Smith; Peter J. Diggle ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 289 KB ๐Ÿ‘ 2 views

We propose an alternative to the method of generalized estimating equations (GEE) for inference about binary longitudinal data. Unlike GEE, the method is practicable when the data consist of long time series on each subject and the set of observation times is not necessarily common to all subjects.