Sentence examples for mixed outcome data from inspiring English sources

We analysed these latter two data types together as mixed outcome data.

We excluded 19 citations due to the following reasons: not a study (n = 8), multiple reasons for exclusion (i.e. more than one inclusion criteria not met; n = 2), irrelevant study design (n = 4), mixed population and separate outcome data not available (n = 4), and irrelevant intervention (n = 1).

The collection of a wide range of process and outcome data using mixed methods and implementation in two sites will increase our understanding of enablers and barriers to the intervention, the effects of context and local organisational pressures, which components might be generalisable across care settings and which might be particularly sensitive to local factors.

This approach has also been suggested as a check for nonlinear mixed-effects models of dichotomous outcome data[ 28].

Of these, 21 studies [ 22- 42] were excluded because they reported outcome data only for mixed subthreshold diagnoses, for subthreshold diagnoses other than GAD or because they contained data analyzed in already included articles.

For continuous outcome data, we used mixed regression models where participant was modelled as a random intercept, and intervention, time, the interaction between intervention and time, renal program (NARP, SARP) and baseline value were modelled as fixed effects.

Studies with mixed tumour types will be included if outcome data for RMS patients are reported separately for at least one outcome.

Methods for examining data with a longitudinal exposure and non-time-varying outcome do not fall in the standard realm of generalized linear mixed models as instead of having correlated outcome data, the repeated measures of the exposures are correlated.

The data were analysed using either Generalised Estimating Equations (GEEs) or mixed-effects models to account for the correlated outcome data within an individual and excluded participant data records for waves where the exposure data were missing.

Missing outcome data requires no special treatment in mixed regression settings.

The neurological classification using the Glasgow outcome scale was analyzed with outcome data for 61 patients in the mixed population and 47 in the pediatric population.