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Statistical approaches for analyzing a continuous outcome in experimental studies [Métodos Estadísticos para Análizar un Resultado Continuo en Estudios Experimentales]

dc.contributor.authorSanhueza A.
dc.contributor.authorOtzen T.
dc.contributor.authorManterola C.
dc.contributor.authorAraneda N.
dc.date.accessioned2020-09-02T22:28:04Z
dc.date.available2020-09-02T22:28:04Z
dc.date.issued2014
dc.identifier10.4067/S0717-95022014000100054
dc.identifier.citation32, 1, 339-350
dc.identifier.issn07179367
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6184
dc.descriptionIn experimental studies the outcome variable is measured at initial time, usually called "baseline", and then in several times called "follow-up" measurement(s). The study question of interest in an experimental study is whether there is a significant difference effect between treatment and comparison group, after intervention. In addition, one wants to estimate the difference effect between groups. This paper studies some of the strategies, including a simulation process, that one can be used for analyzing data coming from an experimental study as above, and considers using or not using the baseline measurements. Three parametric and two non-parametric strategies are evaluated considering only one follow-up measurement. The baseline measurement is incorporated in context in these strategies.
dc.language.isoen
dc.language.isoes
dc.publisherUniversidad de la Frontera
dc.subjectBiostatisticsstatistics
dc.subjectExperimental studies
dc.subjectFollow-up studies
dc.subjectNonparametric
dc.titleStatistical approaches for analyzing a continuous outcome in experimental studies [Métodos Estadísticos para Análizar un Resultado Continuo en Estudios Experimentales]
dc.typeArticle


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