Sentence examples for predictors will include from inspiring English sources

The predictors will include group allocation, an indicator variable for pre- and post-test, and the interaction of group and the indicator variable.

Model predictors will include the a priori covariates listed above (with the baseline for the outcome of interest modelled as a covariate rather than outcome as recommended in Peduzzi et al [ 71]), time, treatment and a time*treatment interaction.

The predictors will include community intervention allocation condition, indicator variables for average school and community rates of alcohol use and risk factors at preintervention, and variables to control factors such as level of disadvantage.

Predictors will include the demographic characteristics of age and degree of intellectual disability as well as time since onset of menstruation; frequency and duration of menstruation; number and frequency of menstrual symptoms experienced and history, treatment and use of medication to manage gynaecological problems and other medical conditions.

Predictors will include (depending on the outcome domain being examined): ADHD subtype, ADHD symptom severity, comorbidities, demographics, cognitive functioning, executive functioning, communication skills, parenting and couple factors, parental mental health, family QoL, teacher-child relationships, teacher/school characteristics and treatment factors.

It is likely that current predictors will include chromatin and epigenomics information in the near future to refine their predictive output; however, to our knowledge, the CBS platform of regulatory predictions is the first tool that integrates information on computationally identified TFBSs and histone modification marks to characterize Drosophila genomes.

Predictor variables will include demographic, psychosocial and illness-related factors.

LHD-level predictor variables will include: number of hospitals and community-based services; measures of LHD workforce.

For research Q4 the dependent variable will be composite cardiometabolic risk score and the predictor variables will include fatness, physical activity, physical fitness, nutrition and sleep behaviour.

GP provider-level predictor variables will include: vocational registration; number of 45 and Up Study participants using this provider, annual number of consultations (brief, standard, long and prolonged); proportion of consultations that are long or prolonged.

Hospital-level predictor variables will include: accessibility (ARIA+) 33; number of beds; peer group; number of admissions (emergency, planned and medical surgical); measures of casemix; patient experience survey data; measures of hospital workforce.