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How to Detect and Handle Confounding Factors
Artículo en Inglés | IMSEAR | ID: sea-133102
ABSTRACT
Abstract How to Detect and Handle Confounding Factors Sirima         Mongkolsomlit     BSc, MSc Epidemiology* Jayanton    Patumanond       MD, DTM\&H, MSc Clin Trop Med, DSc Clinical Epidemiology** Petch           Rawdaree             MD, MSc Epidemiology, DLSHTM*** * Faculty of Public Health, Thammasart University. ** Faculty of Medicine, Chiangmai University. *** Department of Medicine, BMA Medical College and Vajira Hospital.                 When a researcher investigates the association between an exposure of factors and an occurrence of outcome, there are other influencing factors to the test result so called "confounding factors". Confounding factors may cause indistinct or inaccurate results of the study. Since statistical analysis cannot clear out the effect of confounders which have not been collected or being unidentified, it is crucial for the researcher to identify and control the impact of these confounding factors. In order to collect all essential data including any potential confounding factors, a thorough literature review prior to conducting a research is the first and important step. If confounders are identified, there are many approaches to deal with confounders by randomization, restriction, or matching in the research design or methodology process; or by stratification or multivariable analysis in the statistical analysis process.   Keywords confounding factors, randomization, restriction, matching, stratification   Vajira Med J 2010 ; 54 223-235
Texto completo: Disponible Índice: IMSEAR (Asia Sudoriental) Tipo de estudio: Ensayo Clínico Controlado / Estudio pronóstico Idioma: Inglés Año: 2010 Tipo del documento: Artículo

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Texto completo: Disponible Índice: IMSEAR (Asia Sudoriental) Tipo de estudio: Ensayo Clínico Controlado / Estudio pronóstico Idioma: Inglés Año: 2010 Tipo del documento: Artículo