comorbidity

Proportion of comorbidity (diagnostic category 1 and 2)

labels

In medicine and clinical psychology, diagnoses tend to be categorical (someone is depressed or not, someone has an anxiety disorder or not).  Cooccurrence  of both of these symptoms is called comorbidity.   Diagnostic categories vary in their degree of comorbidity with other diagnostic categories.  From the point of view of correlation, comorbidity is just a name applied to one cell in a four fold table.  It is thus possible to analyze comorbidity rates by considering the probability of the separate diagnoses and the probability of the joint diagnosis.  This gives the two by two table needed for a phi, Yule, or tetrachoric correlation.

multivariate

A number of routines for personality, psychometrics and
        experimental psychology.  Functions are primarily for scale
        construction using factor analysis, cluster analysis and
        reliability analysis, although others provide basic descriptive
        statistics. Item Response Theory is done using factor analysis
        of tetrachoric and polychoric correlations. Functions for
        simulating particular item and test structures are included.
        Several functions serve as a useful front end for structural
        equation modeling.  Graphical displays of path diagrams, factor
        analysis and structural equation models are created using basic
        graphics. Some of the functions are written to support a book
        on psychometrics as well as publications in personality
        research. For more information, see the
        personality-project.org/r webpage.

comorbidity: Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics

Description

Usage

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See Also

Examples