Linked Life Data

14595133

Source:http://linkedlifedata.com/resource/pubmed/id/14595133

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2003-11-3
pubmed:abstractText
This article provides an introduction to multiple regression analysis and its application in diagnostic imaging research. We begin by examining why multiple regression models are needed in the evaluation of diagnostic imaging technologies. We then examine the broad categories of available models, notably multiple linear regression models for continuous outcomes and logistic regression models for binary outcomes. The purpose of this article is to elucidate the scientific logic, meaning, and interpretation of multiple regression models by using examples from the diagnostic imaging literature.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0033-8419
pubmed:author
pubmed:copyrightInfo
Copyright RSNA, 2003
pubmed:issnType
Print
pubmed:volume
229
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
305-10
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Primer on multiple regression models for diagnostic imaging research.
pubmed:affiliation
Center for Statistical Sciences, Brown University, Box G-H, 167 Angell Street, Providence, RI 02912, USA. igareen@stat.brown.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.