๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Plots for examination of univariate twin data

โœ Scribed by Christopher J. Williams; Joe C. Christian

Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
593 KB
Volume
25
Category
Article
ISSN
0010-4809

No coin nor oath required. For personal study only.

โœฆ Synopsis

We discuss informative plots for univariate twin data that can be used in conjunction with twin data analyses. The plots are useful for spotting outliers, spotting possible single gene effects, and displaying the contribution of individual twin pairs to the fit of genetic models of the data. We illustrate the use of the plots on bone mineral data, and present programs for generating the plots in SAS. 0 1992 Academic PWSS, 1~.

๐Ÿ“œ SIMILAR VOLUMES

Log-linear plots for data representation
Log-linear plots for data representation
โœ James C. Holste; Kenneth R. Hall; Gustavo A. Iglesias-Silva ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› American Institute of Chemical Engineers ๐ŸŒ English โš– 128 KB

When developing models to represent experimental data, residual plots are effective for assessing quality of fit, and these present the differences between data and reference data or a model. However, when some ordinate values are excessive, it is impossible to maintain definition for small values.

Univariate analysis of dichotomous or or
Univariate analysis of dichotomous or ordinal data from twin pairs: A simulation study comparing structural equation modeling and logistic regression
โœ Viswanathan Ramakrishnan; Joanne M. Meyer; Jack Goldberg; William G. Henderson ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 757 KB

The univariate analysis of categorical twin data can be performed using either structural equation modeling (SEM) or logistic regression. This paper presents a comparison between these two methods using a simulation study. Dichotomous and ordinal (three category) twin data are simulated under two di