M. Maciejewski, E. Weaver, and P. Hebert. Medical care research and review : MCRR, 68 (2):
156-76(April 2011)6319<m:linebreak></m:linebreak>JID: 9506850; 2010/07/30 aheadofprint; ppublish;<m:linebreak></m:linebreak>Publicació; Terminologia.
DOI: 10.1177/1077558710372809
Abstract
There are often multiple discipline-specific terms for a given statistical concept, which can sow confusion in multidisciplinary teams or study sections if researchers are not aware of the synonyms from other disciplines. This article incorporates synonyms and a uniform definition of terminology related to study designs, elements of an equation, and types of bias. Greater multidisciplinary collaboration and exploration of new methods can be facilitated by this methods thesaurus.
%0 Journal Article
%1 Maciejewski2011
%A Maciejewski, Matthew L
%A Weaver, Emily M
%A Hebert, Paul L
%D 2011
%J Medical care research and review : MCRR
%K Bias(Epidemiology) DataInterpretation HealthServicesResearch HealthServicesResearch:methods Humans Statistical TerminologyasTopic RCT
%N 2
%P 156-76
%R 10.1177/1077558710372809
%T Synonyms in health services research methodology.
%U http://www.ncbi.nlm.nih.gov/pubmed/20675352
%V 68
%X There are often multiple discipline-specific terms for a given statistical concept, which can sow confusion in multidisciplinary teams or study sections if researchers are not aware of the synonyms from other disciplines. This article incorporates synonyms and a uniform definition of terminology related to study designs, elements of an equation, and types of bias. Greater multidisciplinary collaboration and exploration of new methods can be facilitated by this methods thesaurus.
%@ 1552-6801; 1077-5587
@article{Maciejewski2011,
abstract = {There are often multiple discipline-specific terms for a given statistical concept, which can sow confusion in multidisciplinary teams or study sections if researchers are not aware of the synonyms from other disciplines. This article incorporates synonyms and a uniform definition of terminology related to study designs, elements of an equation, and types of bias. Greater multidisciplinary collaboration and exploration of new methods can be facilitated by this methods thesaurus.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {Maciejewski, Matthew L and Weaver, Emily M and Hebert, Paul L},
biburl = {https://www.bibsonomy.org/bibtex/2bb8cb4ccace3cfd77cb0feccd907ce15/jepcastel},
city = {Durham VA Medical Center, Durham, NC 27705, USA. mlm34@duke.edu},
doi = {10.1177/1077558710372809},
interhash = {d5d4cc6d69ead34dc2119984ac76f6a1},
intrahash = {bb8cb4ccace3cfd77cb0feccd907ce15},
isbn = {1552-6801; 1077-5587},
issn = {1552-6801},
journal = {Medical care research and review : MCRR},
keywords = {Bias(Epidemiology) DataInterpretation HealthServicesResearch HealthServicesResearch:methods Humans Statistical TerminologyasTopic RCT},
month = {4},
note = {6319<m:linebreak></m:linebreak>JID: 9506850; 2010/07/30 [aheadofprint]; ppublish;<m:linebreak></m:linebreak>Publicació; Terminologia},
number = 2,
pages = {156-76},
pmid = {20675352},
timestamp = {2023-05-04T09:00:45.000+0200},
title = {Synonyms in health services research methodology.},
url = {http://www.ncbi.nlm.nih.gov/pubmed/20675352},
volume = 68,
year = 2011
}