An Application of Stepwise Discriminant Analysis to the Characterization of Military Heroin Dependents, Illicit Drug Users, and Psychiatric Patients
This application of stepwise discriminant analysis explores a way to structure skewed-sample interview data, discusses some implications of the results and the conceptual limitations of assumptions about deviancy, and suggests a focus for future studies of the complex phenomena of drug abuse. The me...
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Veröffentlicht in: | International journal of the addictions 1976, Vol.11 (5), p.819-830 |
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container_title | International journal of the addictions |
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creator | Rothberg, Joseph M. Holloway, Harry C. Nace, Edgar P. Meyers, Andrew L |
description | This application of stepwise discriminant analysis explores a way to structure skewed-sample interview data, discusses some implications of the results and the conceptual limitations of assumptions about deviancy, and suggests a focus for future studies of the complex phenomena of drug abuse. The methodology differs from previous reports in that it uses a constant probability level, letting the computational procedure determine the number of significant variables. It also provides a method of determining the "chance" level (the amount of correct classification when there are no differences between the groups) so that the observed correct classification values may be usefully interpreted. |
doi_str_mv | 10.3109/10826087609058814 |
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It also provides a method of determining the "chance" level (the amount of correct classification when there are no differences between the groups) so that the observed correct classification values may be usefully interpreted.</description><subject>Computers</subject><subject>Heroin Dependence</subject><subject>Humans</subject><subject>Mental Disorders</subject><subject>Military Medicine</subject><subject>Probability</subject><subject>Retrospective Studies</subject><subject>Social Behavior Disorders - epidemiology</subject><subject>Statistics as Topic</subject><subject>Substance-Related Disorders</subject><subject>United States</subject><issn>1082-6084</issn><issn>0020-773X</issn><issn>1532-2491</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1976</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UM1qGzEQFiElcdw-QA8BPUA20axke0VOxk6bgEsNbc7LWDvqKqy1iyQTnOfIA1euQwkUepkZ5vsZ5mPsM4hrCULfgKjKqahmU6HFpKpAnbARTGRZlErDaZ4zXmSCOmcXMT4JARVIOGNnIGCmQYzY69zz-TB0zmByvee95T8SDc8uEl-6aILbOo8-8bnHbh9d5KnnqSW-aDGgSRTcy1_lN9e5hGHP7yn0zvMlDeQb8ile8Ycu33CJL8PuF3-MFPIOfcPXcW9ahyk4w9fZ6cD-yD5Y7CJ9eutj9vjl7ufivlh9__qwmK8Ko-QkFbqSWJVaabNpEGgjhAYNlAvamUWB2lpJ01lZWlK6mWAlVTNVkjLFNsrKMYOjrwl9jIFsPeR_8wM1iPoQcP1PwFlzedQMu82WmneKP4lm_PaIO2_7sMWWsEutwUD1U78LOcX4H_ffkZiLPw</recordid><startdate>1976</startdate><enddate>1976</enddate><creator>Rothberg, Joseph M.</creator><creator>Holloway, Harry C.</creator><creator>Nace, Edgar P.</creator><creator>Meyers, Andrew L</creator><general>Informa UK Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>1976</creationdate><title>An Application of Stepwise Discriminant Analysis to the Characterization of Military Heroin Dependents, Illicit Drug Users, and Psychiatric Patients</title><author>Rothberg, Joseph M. ; Holloway, Harry C. ; Nace, Edgar P. ; Meyers, Andrew L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-983a82949cbda1eb009191e919af7fa0a9ff3e6722fe49d5a834d643ee91fd4f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1976</creationdate><topic>Computers</topic><topic>Heroin Dependence</topic><topic>Humans</topic><topic>Mental Disorders</topic><topic>Military Medicine</topic><topic>Probability</topic><topic>Retrospective Studies</topic><topic>Social Behavior Disorders - epidemiology</topic><topic>Statistics as Topic</topic><topic>Substance-Related Disorders</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rothberg, Joseph M.</creatorcontrib><creatorcontrib>Holloway, Harry C.</creatorcontrib><creatorcontrib>Nace, Edgar P.</creatorcontrib><creatorcontrib>Meyers, Andrew L</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>International journal of the addictions</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rothberg, Joseph M.</au><au>Holloway, Harry C.</au><au>Nace, Edgar P.</au><au>Meyers, Andrew L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Application of Stepwise Discriminant Analysis to the Characterization of Military Heroin Dependents, Illicit Drug Users, and Psychiatric Patients</atitle><jtitle>International journal of the addictions</jtitle><addtitle>Int J Addict</addtitle><date>1976</date><risdate>1976</risdate><volume>11</volume><issue>5</issue><spage>819</spage><epage>830</epage><pages>819-830</pages><issn>1082-6084</issn><issn>0020-773X</issn><eissn>1532-2491</eissn><abstract>This application of stepwise discriminant analysis explores a way to structure skewed-sample interview data, discusses some implications of the results and the conceptual limitations of assumptions about deviancy, and suggests a focus for future studies of the complex phenomena of drug abuse. 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source | MEDLINE; Taylor & Francis Medical Library - CRKN; Taylor & Francis Journals Complete |
subjects | Computers Heroin Dependence Humans Mental Disorders Military Medicine Probability Retrospective Studies Social Behavior Disorders - epidemiology Statistics as Topic Substance-Related Disorders United States |
title | An Application of Stepwise Discriminant Analysis to the Characterization of Military Heroin Dependents, Illicit Drug Users, and Psychiatric Patients |
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