Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies

Sanhueza, A; Otzen, T; Manterola C.; Araneda N.

Abstract

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.

Más información

Título según WOS: Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies
Título según SCOPUS: Statistical approaches for analyzing a continuous outcome in experimental studies [Métodos Estadísticos para Análizar un Resultado Continuo en Estudios Experimentales]
Título según SCIELO: Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies
Título de la Revista: INTERNATIONAL JOURNAL OF MORPHOLOGY
Volumen: 32
Número: 1
Editorial: In Press.
Fecha de publicación: 2014
Página de inicio: 339
Página final: 350
Idioma: English; Spanish
DOI:

10.4067/S0717-95022014000100054

Notas: ISI, SCIELO, SCOPUS