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Can I read A Hierarchical Approach To Inferences Concerning Interobserver Agreement For Multinomial Data on EtoBox?
A Hierarchical Approach To Inferences Concerning Interobserver Agreement For Multinomial Data by ALLAN DONNER; MICHAEL ELIASZIW is a Mathematics article available to read on EtoBox.
What is A Hierarchical Approach To Inferences Concerning Interobserver Agreement For Multinomial Data about?
We consider inference methods for interobserver agreement studies characterized by two raters and several outcome categories that one can naturally combine to address a series of questions of a priori interest. We propose a new method based on a series of nested, statistically independent inferences, each corresponding to a binary outcome variable obtained by combining a substantively relevant subset of the original categories. We conduct the inferences using a goodness-of-fit procedure that extends the approach of Donner and Eliasziw. The methodology presented is an alternative to methodology that places each of the outcome categories on an equal footing in estimating interobserver agreement for multinomial data. We provide two examples.
Who reads A Hierarchical Approach To Inferences Concerning Interobserver Agreement For Multinomial Data?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- ALLAN DONNER; MICHAEL ELIASZIW
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)
- Published
- 1997
- Language
- EN
- Field
- Mathematics (Physical Sciences)