[Skip to Content]
Access to paid content on this site is currently suspended due to excessive activity being detected from your IP address Please contact the publisher to request reinstatement.
[Skip to Content Landing]
February 1987

Charlie Brown and Statistics: An Exchange-Reply

Author Affiliations

Departments of Mathematics and Psychiatry Washington University 4940 Audubon Ave St Louis, MO 63110

Arch Gen Psychiatry. 1987;44(2):194-195. doi:10.1001/archpsyc.1987.01800140106020

This article is only available in the PDF format. Download the PDF to view the article, as well as its associated figures and tables.


To the Editor.—  We would like to carry Dr Kraemer's "Peanuts" analogy one step further. Suppose the team statistician uses a method of rating players that is dependent on the number of times at bat. For players who have been on the team all year, the rating system will be a practical means of comparison, but it will strike out when applied to the brilliant player newly arrived from the farm team in midseason or batters who missed part of the season due to injury. Such has been the story with k. It has been used extensively as a measure in clinical studies, and as long as prevalences are consistently high, it is a consistent measure of the instrument reliability. But when it is extended to population studies, or used in clinical studies in which prevalences of specific diagnoses vary greatly, interpretation of k values must be made cautiously. Actually, Dr Kraemer claims

First Page Preview View Large
First page PDF preview
First page PDF preview