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Where the outcome was time-to-event, the Nelson Aalen estimator and event indicator were entered into the imputation model as suggested by White and Royston (2009).
Entry scores, together with age, gender, discipline background, rural entry status and a socioeconomic indicator were entered into linear regression models to determine the relative influence of each predictor on subsequent academic performance in the course.
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Each SES indicator was entered as a continuous variable in each model, without adjustment, and then following forced-entry covariate adjustment for potential confounding variables age, sex, body mass index (BMI), diabetes, smoking status, and alcohol consumption.
Individual and area SES indicators were entered first to control for potential confounding factors.
Potential claims-based indicators were entered into a linear regression model as independent variables and the RARBIS as the dependent variable.
The observed program quality indicators were entered as predictors of both the random intercepts (accounting for main effects related to program quality) and the program-dependent child sex effect (accounting for program quality × sex interactions).
Up to 23 monthly indicators are entered in various external and internal reports.
Clinical QOF data is extracted from individual general practice clinical systems and sent automatically to QMAS; organizational, access, patient experience and additional service indicators are entered by the practice directly into QMAS via a web-browser.
For each analysis, 3 indicator variables were entered and only the first extracted component was used.
All the indicator values were entered in to a spreadsheet in Ms-excel.
Four indicator variables were entered into the regression models for race and ethnicity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com