Abstract
This paper illustrates the use of Rasch measurement as an alternative to regression analysis to identify gout and nongout
patients who do and do not fit a gout variable constructed by the Rasch model. Unlike a numerical regression
coefficient report, the clinician benefits from the one clear picture of the relationship among laboratory values and
gout diagnosis which the Rasch model constructs.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2000 Benjamin D. Wright, Kyle Perkins, J. Kevin Dorsey (Author)
Downloads
Download data is not yet available.