Linked Life Data

18599252

Source:http://linkedlifedata.com/resource/pubmed/id/18599252

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-11-28
pubmed:abstractText
The aim of this study is to demonstrate the utility of recursive partitioning (RP) for analyzing process and outcome data in drug treatment research. The basic methodology of RP is introduced and applied to the prediction of treatment retention.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1873-6483
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
36
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
59-64
pubmed:meshHeading
pubmed-meshheading:18599252-Adult, pubmed-meshheading:18599252-Aged, pubmed-meshheading:18599252-Crime, pubmed-meshheading:18599252-Data Collection, pubmed-meshheading:18599252-Data Interpretation, Statistical, pubmed-meshheading:18599252-Decision Trees, pubmed-meshheading:18599252-Follow-Up Studies, pubmed-meshheading:18599252-Forecasting, pubmed-meshheading:18599252-Heroin Dependence, pubmed-meshheading:18599252-Humans, pubmed-meshheading:18599252-Middle Aged, pubmed-meshheading:18599252-Models, Statistical, pubmed-meshheading:18599252-Narcotics, pubmed-meshheading:18599252-Outcome and Process Assessment (Health Care), pubmed-meshheading:18599252-Patient Dropouts, pubmed-meshheading:18599252-Recurrence, pubmed-meshheading:18599252-Severity of Illness Index, pubmed-meshheading:18599252-Social Support, pubmed-meshheading:18599252-Time Factors, pubmed-meshheading:18599252-Treatment Outcome, pubmed-meshheading:18599252-Young Adult
pubmed:year
2009
pubmed:articleTitle
Seeing the trees despite the forest: applying recursive partitioning to the evaluation of drug treatment retention.
pubmed:affiliation
SIStat, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, USA. ghellemann@mednet.ucla.edu
pubmed:publicationType
Journal Article, Randomized Controlled Trial, Research Support, N.I.H., Extramural