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A mixed linear statistical model ANOVA was used in the evaluation of treatment efficacy.
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A mixed linear model statistical analysis revealed that all females and seven males showed significant cycle effects in mental rotation performance.
To analyze the XY body length data, a general mixed linear model was used for statistical analysis using the Stata software program.
The mixed linear analyses were conducted with the statistical program R (the R Foundation for Statistical Computing, Vienna, Austria).
Among available statistical methods, the mixed linear model (MLM) has been the most flexible and powerful for controlling population structure and individual unequal relatedness (kinship), the two common causes of spurious associations.
The enrichment of the compressed mixed linear model by optimizing group kinship improves statistical power for genome wide association studies.
Compared with a simple mixed linear model, compressed mixed linear models increase the statistical power and reduce computing time for large samples [ 74].
Most of the analysis was performed with the statistical package SPSS V11.5 and the mixed linear model was adjusted through SAS.
Final mixed linear models resulted from stepwise model choices and included only statistical significant effects.
Statistical analyses of the data had the objectives of fitting mixed linear models using ASREML [12] to estimate the genetic parameters of the nine traits.
The mixed procedure fits a variety of mixed linear models to data and enables the use of these fitted models to make statistical inferences about the data.
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