Sentence examples for a random effect to correct for from inspiring English sources
Litter of origin was included as a random effect to correct for clustering within litters.
The variable herd was included as a random effect to correct for over dispersion.
All analyses involving this measure were conducted with nest identity as a random effect to correct for female-specific ovulation sequences.
We performed association mapping using GEMMA (Zhou and Stephens, 2012), which fits a univariate mixed model, incorporating an n x n relatedness (identity-by-state) matrix as a random effect to correct for genetic structure in the mapping population.
Data sets from each field environment were fitted into a mixed model with environment as a fixed effect and wheat lines as a random effect to correct for data distortion due to trial effects.
The effects on the primary outcome will be evaluated by means of linear mixed-effect models with treatment, baseline measures, and control variables (used in the sequential balancing minimisation procedure [ 25]) as covariates and the DSCU as a random effect, to correct for dependencies within DSCUs.
Heifer was added as random effect to correct for clustering of multiple observations (6) per heifer (RANDOM statement).
We included male identity and flock as random effects to correct for the fact that some pairs in different aviary flocks contained the same male, and for the fact that most flocks contained several mated pairs.
Array number and position on array were added in the model as covariates with random effects to correct for batch effects.
In all adjusted analysis, we used a random effect model to correct for possible clustering by hospital, because other and unmeasured quality of care characteristics at the health care provider level might be associated with patient mortality [ 29].
Since this introduced heterogeneity in our analysis, we used a random effects model to correct for the differences between studies, thereby providing the most conservative detection of differences between interventions.
