medias mínimo-cuadráticas

English translation: least-squares means

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GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW)
Spanish term or phrase:medias mínimo-cuadráticas
English translation:least-squares means
Entered by: ServingMed.com
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07:50 Apr 3, 2018
Spanish to English translations [PRO]
Medical - Mathematics & Statistics / Clinical trial protocol
Spanish term or phrase: medias mínimo-cuadráticas
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
ServingMed.com
Netherlands
Local time: 15:06
least-squares means
Explanation:
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 ...
Selected response from:

Margarita Ezquerra (Smart Translators, S.L.)
Spain
Local time: 15:06
Grading comment
Gracias!!
4 KudoZ points were awarded for this answer



Summary of answers provided
3 +5least-squares means
Margarita Ezquerra (Smart Translators, S.L.)


  

Answers


1 hr   confidence: Answerer confidence 3/5Answerer confidence 3/5 peer agreement (net): +5
least-squares means


Explanation:
On Biostatistics and Clinical Trials: Least squares means (marginal ...
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 ...

Margarita Ezquerra (Smart Translators, S.L.)
Spain
Local time: 15:06
Native speaker of: Native in SpanishSpanish
PRO pts in category: 70
Grading comment
Gracias!!

Peer comments on this answer (and responses from the answerer)
agree  MPGS: :-)
31 mins
  -> Gracias mil.. Saludos

agree  philgoddard
4 hrs
  -> Muchas gracias. Saludos

agree  Patricia Fierro, M. Sc.
4 hrs
  -> Mil gracias, Patricia

agree  njweatherdon
15 hrs
  -> Muchas gracias

agree  TomWalker
1 day 15 hrs
  -> Many thanks!
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