Exact(8)
Occurrences of matings in Experiment 3 were analyzed using a mixed model (with binomial error and logit link function), with Treatment (3 treatment levels) as an explanatory variable (fixed effect) and family as a random effect to allow for the fact that more than one female per family was tested in this experiment.
Models will also include a random effect to allow for repeated measures within a parent.
The person was treated as a random effect to allow for the correlations between measurements on the same subject.
Stage III analysis extended this to a multivariable mixed effects model by adding SHA as a random effect to allow for the possibility of significant variation between SHAs and the SHA differences were not of interest.
Primary outcomes will be analysed for group differences using a mixed model with the oncologist as a random effect, to allow for comparison of consultations involving recipients of the CSP or control conditions by the same oncologist.
To examine associations between ethnicity, number of comorbidities, and outcome measures, regression models were fitted with practice as a random effect to allow for clustering of patients in practices.
Similar(52)
18 Units were included as random effects to allow for clustering of admissions within units.
Participants were treated as random effects (to allow for clustering of data within each participant).
We included the quarter and trust in the regression models as random effects, to allow for temporal trends.
Mixed effects linear models will be fitted to compare the groups with a random practice effect to allow for clustering.
Meta-analysis was performed using Stats Direct software, with a random effects model to allow for variation between studies.
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