
  These data  were published by Silvapulle, and come from a
  psychiatric study of the relation between psychiatric diagnosis (as
  case or non-case) and the value of the score on a
  12-item General Health Questionnaire (<acronym>GHQ</acronym>), for 120 patients
  attending a general practitioner's surgery.
  Each patient was administered the <acronym>GHQ</acronym>, resulting in a score
  between 0 and 12, (however there were no cases or non-cases with <acronym>GHQ</acronym> scores
  of 11 or  12) and was subsequently given a full psychiatric
  examination by a psychiatrist who did not know the patient's
  <acronym>GHQ</acronym> score.
  The patient was classified by the psychiatrist as either a ``case'',
  requiring psychiatric treatment, or a ``non-case''.  


datasets

This package accompanies Aitkin et al, Statistical
Modelling in R, OUP, 2009. The package contains some functions
and datasets used in the text.

Ross Darnell

SMIR

Companion to Statistical Modelling in R

ghq function

<table><tr><td>
    [,1]</td>
<td> sex</td>
</tr><tr><td> Factor w/ 2 levels "men","women"</td>
<td>
    [,2] </td>
</tr><tr><td> ghq</td>
<td> integer, score from 0,...,12</td>
</tr><tr><td>
    [,3] </td>
<td> c  </td>
</tr><tr><td> integer, number of patients considered a
    "case"</td>
<td>
    [,4] </td>
</tr><tr><td>  nc </td>
<td> integer, number of patients considered  a "non-case"</td>
</tr></table>

Format

Silvapulle, M. J. (1981), "On the existence of maximum
  likelihood estimators for the binomial response model",
  <em>J. Roy. Statist. Soc. B.</em>, <b>43</b>, 310--13.

ghq: Psychiatric diagnosis based on GHQ

Description

Usage

Arguments

Format

Source

[,1]	sex
Factor w/ 2 levels "men","women"	[,2]
ghq	integer, score from 0,...,12
[,3]	c
integer, number of patients considered a "case"	[,4]
nc	integer, number of patients considered a "non-case"