Your English writing platform
Discover LudwigExact(1)
As we found significant intra family clustering of offspring birthweights (intra cluster correlations (ICC) = 28.7 40.5%, P < 0.0001), we used mixed regression modelling to nest births within each parent as random intercepts.
Similar(59)
We used linear mixed regression modeling to account for the repeated measures of the LDH assays on successive days for each tissue sample.
Data were analyzed using a multivariable linear mixed regression model.
For instance, a mixed regression model that incorporates random effects may be appropriate.
Due to the heterogeneity of the data, meta-analyses and mixed regression modeling were not conducted.
Some mathematical models of response surface were created by the mixed regression model and response surface method.
To account for possible sources of variation among subjects (e.g., age, gender, ethnicity. etc)., we used the linear mixed regression model.
Five imputed datasets were created and the command mim was used to run mixed logistic and mixed regression models with complete datasets similar to the models described above.
In the years following this paper, alternative statistical approaches for genomic selection have been developed, derived from Bayesian models and some other parametric methods including GBLUP and mixed regression models [11] [14].
After characterizing the distribution of clutch sizes and plotting relationships between clutch size and each of the covariates, I attempted to fit a linear mixed regression model to the data in the lme4 package [19] in R [20].
Different linear mixed regression models (PROC MIXED, SAS 9.4, SAS Institute Inc).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com