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Title: Reflexiones sobre el uso de la odds ratio o la razón de prevalencias o proporciones
Other Titles: Considerations on the use of odds ratio versus prevalence or proportion ratio
Author: Espelt Hernández, Albert
Bosque Prous, Marina
Marí Dell'Olmo, Marc
Others: Universitat de Vic - Universitat Central de Catalunya
Universitat Pompeu Fabra
Universitat Oberta de Catalunya (UOC)
Keywords: odds ratio
Issue Date: Sep-2019
Publisher: Adicciones
Citation: Espelt, A., Bosque-Prous, M. & Marí-Dell'Olmo, M. (2019). Reflexiones sobre el uso de la Odds Ratio o la Razón de Prevalencias o Proporciones. Adicciones, 31(4), 257-259. doi: 10.20882/adicciones.1416
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Abstract: In 2017, we published an article explaining how to estimate prevalence ratios using different regression models (Espelt, Mari-Dell'Olmo, Penelo & Bosque-Prous, 2017). In health science research, we often work with cross-sectional or longitudinal studies. The variables of interest in these studies may be dichotomous variables (i.e. yes vs no) related to a disease or health condition, and we usually represent them as proportions, such as prevalence or cumulative incidence (e.g. percentage of at-risk drinkers or percentage of new cases of hazardous drinking in a given period, respectively) Hernandez-Avila, Garrido-Latorre & Lopez-Moreno, 2000; Moreno-Altamirano, López-Moreno & Corcho-Berdugo, 2000). In this sense, when we work with dichotomous dependent variables and proportions, the first estimate we show is the prevalence or cumulative incidence of the disease or unhealthy behavior. Once the prevalence or cumulative incidence has been estimated, what will interest us is to ascertain whether this prevalence or cumulative incidence changes depending on the different independent or explanatory variables.
Language: Spanish
ISSN: 0214-4840MIAR
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