Confounding

BACKGROUND: Confounding is a statistical concept that is important to all researchers. MATERIALS AND METHODS: The concept of confounding is explained with the help of an amusing but true example. Simple explanations about and examples of confounding are provided. Methods to deal with confounding are...

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Detalles Bibliográficos
Autor principal: Andrade, Chittaranjan
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2007
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2917080/
https://www.ncbi.nlm.nih.gov/pubmed/20711398
http://dx.doi.org/10.4103/0019-5545.33263
Descripción
Sumario:BACKGROUND: Confounding is a statistical concept that is important to all researchers. MATERIALS AND METHODS: The concept of confounding is explained with the help of an amusing but true example. Simple explanations about and examples of confounding are provided. Methods to deal with confounding are detailed and their applications and disadvantages are examined. CONCLUSIONS: Attention to confounding is necessary at the time of study design as well as during the statistical analysis of data. The failure to identify and control for confounding can result in the faulty interpretation of study outcomes.

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