Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies
In 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 tr...
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| Autores principales: | , , , |
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| Lenguaje: | English |
| Publicado: |
Sociedad Chilena de Anatomía
2014
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| Materias: | |
| Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022014000100054 |
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| Sumario: | In 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. |
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