Noncollapsibility, confounding, and sparse-data bias. Part 2: What should researchers make of persistent controversies about the odds ratio?
J Clin Epidemiol
; 139: 264-268, 2021 11.
Article
em En
| MEDLINE
| ID: mdl-34119647
ABSTRACT
A previous note illustrated how the odds of an outcome have an undesirable property for risk summarization and communication Noncollapsibility, defined as a failure of a group measure to represent a simple average of the measure over individuals or subgroups. The present sequel discusses how odds ratios amplify odds noncollapsibility and provides a basic numeric illustration of how noncollapsibility differs from confounding of effects (with which it is often confused). It also draws a connection of noncollapsibility to sparse-data bias in logistic, log-linear, and proportional-hazards regression.
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01-internacional
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MEDLINE
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Projetos de Pesquisa
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Etiology_studies
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Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
J Clin Epidemiol
Assunto da revista:
EPIDEMIOLOGIA
Ano de publicação:
2021
Tipo de documento:
Article