Glossary entry (derived from question below)
Spanish term or phrase:
medias mínimo-cuadráticas
English translation:
least-squares means
Added to glossary by
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Apr 3, 2018 07:50
6 yrs ago
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Spanish term
medias mínimo-cuadráticas
Spanish to English
Medical
Mathematics & Statistics
Clinical trial protocol
Variables principales de eficacia
La mejoría de capacidad funcional medida por parámetros cuantitativos de la ergoespirometría, con respecto a la del inicio del programa mediante el cambio observado a los 3 meses, se analizará mediante un modelo estadístico de Análisis de la Covarianza, en el que el grupo se considerará como efecto fijo y el valor observado en el momento basal como covariante.
Se estimarán las medias mínimo-cuadráticas con sus intervalos de confianza del 95%.
I find references to minimum means (MM) but not minimum quadratic means in the context of 95% CI. Thoughts on what it should be?
Thanks, Juliette
La mejoría de capacidad funcional medida por parámetros cuantitativos de la ergoespirometría, con respecto a la del inicio del programa mediante el cambio observado a los 3 meses, se analizará mediante un modelo estadístico de Análisis de la Covarianza, en el que el grupo se considerará como efecto fijo y el valor observado en el momento basal como covariante.
Se estimarán las medias mínimo-cuadráticas con sus intervalos de confianza del 95%.
I find references to minimum means (MM) but not minimum quadratic means in the context of 95% CI. Thoughts on what it should be?
Thanks, Juliette
Proposed translations
(English)
3 +5 | least-squares means | Margarita Ezquerra (Smart Translators, S.L.) |
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least-squares means
On Biostatistics and Clinical Trials: Least squares means (marginal ...
onbiostatistics.blogspot.com/.../least-squares-means-marginal-mea...
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5 abr. 2009 - If you work with SAS, you probably heard and used the term 'least squares means' very often. Least squares means (LS Means) are actually a sort of SAS jargon. Least square means is actually referred to as marginal means (or sometimes EMM - estimated marginal means). In an analysis of covariance ...
Least squares means - DAWG
dawg.utk.edu/glossary/g_least_squares_means.htm
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Least Squares Mean. This is a mean estimated from a linear model. In contrast, a raw or arithmetic mean is a simple average of your values, using no model. Least squares means are adjusted for other terms in the model (like covariates), and are less sensitive to missing data. Theoretically, they are better estimates of the ...
Least-Squares Means: The R Package lsmeans | Lenth | Journal of ...
https://www.jstatsoft.org/article/view/v069i01/0
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de RV Lenth - 2016 - Citado por 709 - Artículos relacionados
29 ene. 2016 - They are useful in the analysis of experimental data for summarizing the effects of factors, and for testing linear contrasts among predictions. The lsmeans package (Lenth 2016) provides a simple way of obtaining least-squares means and contrasts thereof. It supports many models fitted by R (R Core Team ...
onbiostatistics.blogspot.com/.../least-squares-means-marginal-mea...
Traducir esta página
5 abr. 2009 - If you work with SAS, you probably heard and used the term 'least squares means' very often. Least squares means (LS Means) are actually a sort of SAS jargon. Least square means is actually referred to as marginal means (or sometimes EMM - estimated marginal means). In an analysis of covariance ...
Least squares means - DAWG
dawg.utk.edu/glossary/g_least_squares_means.htm
Traducir esta página
Least Squares Mean. This is a mean estimated from a linear model. In contrast, a raw or arithmetic mean is a simple average of your values, using no model. Least squares means are adjusted for other terms in the model (like covariates), and are less sensitive to missing data. Theoretically, they are better estimates of the ...
Least-Squares Means: The R Package lsmeans | Lenth | Journal of ...
https://www.jstatsoft.org/article/view/v069i01/0
Traducir esta página
de RV Lenth - 2016 - Citado por 709 - Artículos relacionados
29 ene. 2016 - They are useful in the analysis of experimental data for summarizing the effects of factors, and for testing linear contrasts among predictions. The lsmeans package (Lenth 2016) provides a simple way of obtaining least-squares means and contrasts thereof. It supports many models fitted by R (R Core Team ...
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