Recently, there has been increased interest in evaluating extended haplotypes in p53 as risk factors for cancer. An allele-specific polymerase chain reaction (PCR) method, confirmed by restriction analysis, has been used to determine absolute extended haplotypes in diploid genomes. We describe stati
An Extended Threshold Model for Analyzing Ordered Categorical Data
โ Scribed by Prof. Dr. H. D. Quednau
- Publisher
- John Wiley and Sons
- Year
- 1988
- Tongue
- English
- Weight
- 486 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
โฆ Synopsis
This paper presents an extended threshold model for analyzing ordered categorical date. The model admits interactions between the position of the thresholds and the levels of the effective factors.
These interactions are described according to the approach of &=EN and GRAYBILL (1970).
hpecially imporbnt for practical application is the special essumption that there is a h e a r relation between interactions and thresholds, and that the elopes of the concerning regreasion lines may be different for samples. This means that the latent variables are distributed according to the same type of distributions, but may have different expectations and variances. Underlying this submodel, the estimation of parameters and the testing of hypothew according to the maximum likelihood method is described. The procedure is i ~~u s t r a t e d by a numerical example, and an outline is given about a cluster analysis using model parameters.
๐ SIMILAR VOLUMES
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
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
**Praise for the First Edition** "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." โ*Short Book Reviews* "Of great interest to potential readers is the variety of fields that are represented in the examp