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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sanhueza,Antonio, Otzen,Tamara, Manterola,Carlos, Araneda,Nelson
Lenguaje:	English
Publicado:	Sociedad Chilena de Anatomía 2014
Materias:	Experimental Studies Follow-Up Studies Biostatistics Statistics Nonparametric
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022014000100054
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:scielo:S0717-95022014000100054
record_format	dspace
spelling	oai:scielo:S0717-950220140001000542015-11-13Statistical Approaches for Analyzing a Continuous Outcome in Experimental StudiesSanhueza,AntonioOtzen,TamaraManterola,CarlosAraneda,Nelson Experimental Studies Follow-Up Studies Biostatistics Statistics Nonparametric 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.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.32 n.1 20142014-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022014000100054en10.4067/S0717-95022014000100054
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Experimental Studies Follow-Up Studies Biostatistics Statistics Nonparametric
spellingShingle	Experimental Studies Follow-Up Studies Biostatistics Statistics Nonparametric Sanhueza,Antonio Otzen,Tamara Manterola,Carlos Araneda,Nelson Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies
description	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.
author	Sanhueza,Antonio Otzen,Tamara Manterola,Carlos Araneda,Nelson
author_facet	Sanhueza,Antonio Otzen,Tamara Manterola,Carlos Araneda,Nelson
author_sort	Sanhueza,Antonio
title	Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies
title_short	Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies
title_full	Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies
title_fullStr	Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies
title_full_unstemmed	Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies
title_sort	statistical approaches for analyzing a continuous outcome in experimental studies
publisher	Sociedad Chilena de Anatomía
publishDate	2014
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022014000100054
work_keys_str_mv	AT sanhuezaantonio statisticalapproachesforanalyzingacontinuousoutcomeinexperimentalstudies AT otzentamara statisticalapproachesforanalyzingacontinuousoutcomeinexperimentalstudies AT manterolacarlos statisticalapproachesforanalyzingacontinuousoutcomeinexperimentalstudies AT aranedanelson statisticalapproachesforanalyzingacontinuousoutcomeinexperimentalstudies
_version_	1718444865031766016

Statistical Approaches for Analyzing a Continuous Outcome in Experimental Studies

Ejemplares similares