Sentence examples for be compared using generalised from inspiring English sources
Aiming to assess the non-inferiority of facilitated access compared with standard face-to-face intervention, the proportion of risky drinkers in both groups will be compared using generalised non-linear mixed models.
Epidemic sizes were compared using generalised linear models (GLM) with negative binomial errors and a log link function.
The 3 groups of subjects were compared using generalised linear regression assuming a Tweedie distribution, which allows the zero inflation (caused by non-responders) to be modeled [31].
Categorised anxiety and depression subscale scores were compared using generalised ordinal logistic regression [27].
Performance measures were compared using generalised linear mixed models, accounting for inter-reader performance heterogeneity (P < 0.05).
The AUCs of the receiver operating characteristic (ROC) curves were compared using generalised U statistics [ 28], implemented with the R package pROC [ 29].
Furthermore, the counts of eye disorder-related visits between cases and controls for each of the eight time intervals were compared using generalised linear models.
The utilisation of eye disorder-related medical service over different intervals prior to diagnosis of Sjögren's syndrome between cases and controls were compared using generalised estimating equations with negative binomial distribution and log link function.
Mean scores for anxiety, depression and self-esteem at the three time points were compared using generalised estimating equations [ 16] to allow for within-individual variation in the cohort.
The two arms will be compared using a robust generalised estimating equations (GEE) Wilcoxon rank-sum-type score test 47 for ordinal categorical data; this approach does not assume normality of the outcome, and accounts for a possible cluster effect of patients within clinician.
The primary outcome variable is HbA1c, and differences in this between the two study groups at 6 months will be compared using a marginal model, with coefficients and their associated 95% CI estimated using generalised estimating equations.
