๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Tests of Significance Using Regression Models for Ordered Categorical Data

โœ Scribed by Steven M. Snapinn and Robert D. Small

Book ID
125764729
Publisher
John Wiley and Sons
Year
1986
Tongue
English
Weight
848 KB
Volume
42
Category
Article
ISSN
0006-341X

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Compound Regression Models for Ordered C
Compound Regression Models for Ordered Categorical Data
โœ Dr. Gerhard Tutz ๐Ÿ“‚ Article ๐Ÿ“… 1989 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 787 KB

A general class of sequential models for the analysis of ordered categorical variables ie developed and discussed. The models apply if the ordinal response may be subdivided into two or more meaningful sets of response categorim. The parametrizetion explicitly makes use of this subdivision. The mode

A GLOBAL ODDS RATIO REGRESSION MODEL FOR
A GLOBAL ODDS RATIO REGRESSION MODEL FOR BIVARIATE ORDERED CATEGORICAL DATA FROM OPHTHALMOLOGIC STUDIES
โœ JOHN WILLIAMSON; KYUNGMANN KIM ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 886 KB

In typical clinical trials or epidemiologic studies of a bilateral eye disease, the primary outcome data consist of pairs of ordered categorical responses that tend to be highly correlated. In such studies, interest often centres in associating the outcome data with a grouping variable such as the t