Abstract:
:Epidemiological research still rarely uses causal diagrams, despite growing recognition of their explanatory potential. One possible reason is that many research programs involve themes in which there is a certain degree of uncertainty as to mechanisms in the processes that generate the data. In this study, the relationship between occupational stress and obesity is used as an example of the application of causal diagrams to questions related to confounding. The article presents the selection stages for variables in statistical adjustment and the derivation of a causal diagram's statistical implications. The main advantage of causal diagrams is that they explicitly reveal the respective model's underlying hypotheses, allowing critical analysis of the implications and thereby facilitating identification of sources of bias and uncertainty in the epidemiological study's results.
journal_name
Cad Saude Publicajournal_title
Cadernos de saude publicaauthors
Cortes TR,Faerstein E,Struchiner CJdoi
10.1590/0102-311X00103115subject
Has Abstractpub_date
2016-08-08 00:00:00pages
e00103115issue
8eissn
0102-311Xissn
1678-4464pii
S0102-311X2016000804001journal_volume
32pub_type
杂志文章abstract::The authors investigated the association between the reported frequency of breast self-examination and five dimensions of social support (material, emotional, affective, information, and positive social interaction) among 2,240 female employees from a university in Rio de Janeiro who were participants in Phase 1 of a ...
journal_title:Cadernos de saude publica
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journal_title:Cadernos de saude publica
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journal_title:Cadernos de saude publica
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journal_title:Cadernos de saude publica
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journal_title:Cadernos de saude publica
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journal_title:Cadernos de saude publica
pub_type: 临床试验,杂志文章,随机对照试验
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