𝔖 Bobbio Scriptorium
✦   LIBER   ✦

ANALYSIS OF LONGITUDINAL DATA.

✍ Scribed by JUNI PALMGREN


Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
149 KB
Volume
15
Category
Article
ISSN
0277-6715

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Analysis of longitudinal data from twins
✍ R.M. Huggins; N.H. Hoang; D.Z. Loesch πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 140 KB

Longitudinal data from twin pairs may be used to determine how the genetic effects influencing a quantitative trait change with age. Here a model for mixed longitudinal data of Huggins and Loesch [1998] on unrelated individuals is extended to twin studies. The model is fitted using robust statistica

Dispersion models and longitudinal data
✍ Bent JΓΈrgensen; Min Tsao πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 168 KB πŸ‘ 1 views

Dispersion models provide a #exible class of non-normal distributions with many potential applications in biostatistics, accommodating a wide range of continuous, discrete and mixed data. Starting with Liang and Zeger's generalized estimating equation method, we review some recent applications of di

Longitudinal data analysis (repeated mea
✍ Paul S. Albert πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 227 KB πŸ‘ 1 views

Longitudinal data is often collected in clinical trials to examine the e!ect of treatment on the disease process over time. This paper reviews and summarizes much of the methodological research on longitudinal data analysis from the perspective of clinical trials. We discuss methodology for analysin

Residuals analysis of the generalized li
✍ Yue-Cune Chang πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 196 KB πŸ‘ 2 views

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 robust mixed linear model analysis for
✍ Paramjit S. Gill πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 124 KB πŸ‘ 2 views

This paper describes robust procedures for estimating parameters of a mixed e!ects linear model as applied to longitudinal data. In addition to "xed regression parameters, the model incorporates random subject e!ects to accommodate between-subjects variability and autocorrelation for within-subject