Evaluating epidemiological evidence: A simple test
| dc.contributor.author | Liang, Wenbin | |
| dc.date.accessioned | 2017-01-30T10:35:00Z | |
| dc.date.available | 2017-01-30T10:35:00Z | |
| dc.date.created | 2013-11-27T20:00:35Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Liang, Wenbin. 2013. Evaluating epidemiological evidence: A simple test. International Journal of Medical Sciences. 10 (11): pp. 1459-1461. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/3911 | |
| dc.identifier.doi | 10.7150/ijms.6455 | |
| dc.description.abstract |
Epidemiological studies that investigate the relationships between health behaviors and diseases may be affected by both known and unknown confounding factors. Alcohol use is one of these behaviors that have been intensively investigated in epidemiological studies. This manuscript introduced a simple test that can identify confounded epidemiological studies. This approach is sensitive to both known and unknown confounders. It provides a new perspective to develop measures for evidence selection in the future. | |
| dc.publisher | Ivyspring International Publisher | |
| dc.subject | evidence-based medicine | |
| dc.subject | causality | |
| dc.subject | epidemiology | |
| dc.subject | bias | |
| dc.subject | health behaviors | |
| dc.title | Evaluating epidemiological evidence: A simple test | |
| dc.type | Journal Article | |
| dcterms.source.volume | 10 | |
| dcterms.source.startPage | 1459 | |
| dcterms.source.endPage | 1461 | |
| dcterms.source.issn | 14491907 | |
| dcterms.source.title | International journal of medical sciences | |
| curtin.note |
This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License | |
| curtin.department | ||
| curtin.accessStatus | Open access |