You are seeing this message because your Web browser does not support basic Web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.


ABOUT ARCHIVES
Advanced Search

Welcome   | My Account | E-mail Alerts | Access Rights | Sign In


  Vol. 39 No. 8, August 1982 TABLE OF CONTENTS
  Archives
  •  Online Features
  ARTICLES
 This Article
 •Full text PDF
 • Reply to article
 •Send to a friend
 • Save in My Folder
 •Save to citation manager
 •Permissions
 Citing Articles
 •Contact me when this article is cited
 Related Content
 •Similar articles in this journal
 Social Bookmarking
  Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit Add to Technorati Add to Twitter What's this?

Discriminant Analysis in Adoption Studies

Remi J. Cadoret, MD
Department of Psychiatry University of Iowa School of Medicine Iowa City, IA 52242 Stephen S. Brier, PhD Department of Statistics and Actuarial Science University of Iowa Iowa City, IA 52242

Arch Gen Psychiatry. 1982;39(8):974.

Since this article does not have an abstract, we have provided the first 150 words of the full text PDF and any section headings.

To the Editor.

—We read with great interest the articles by Bohman, Cloninger, and Sigvardson entitled "Inheritance of Alcohol Abuse" and "Maternal Inheritance of Alcohol Abuse" (1981;38:861-868 and 1981;38:965-969). The authors have been fortunate in their access to a large data set on adoptees, which gives them enormous potential to answer some important questions regarding the issue of nature v nurture in the genesis of alcoholism.

However, we are concerned that the authors have not used the best possible statistical methods. There appear to be important shortcomings in their data analysis.

Given that the authors are interested in discovering which factors affect the probability of alcohol abuse, it would have been more appropriate to use logistic regression with the genetic and environmental variables as the "independent" variables. This is a direct way of assessing which variables are important. Additionally, this type of model can be used to estimate the effects . . . [Full Text PDF of this Article]



Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter     What's this?





HOME | CURRENT ISSUE | PAST ISSUES | TOPIC COLLECTIONS | SUBMIT | SUBSCRIBE | HELP
CONDITIONS OF USE | PRIVACY POLICY | CONTACT US | SITE MAP
 
© 1982 American Medical Association. All Rights Reserved.