Sentence examples for measures and logistic from inspiring English sources

We then examined differences in cardiac phenotype by genotype using generalized linear models for continuous measures and logistic regression for dichotomous measures of cardiac function.

Linear regression will be used to analyse continuous measures and logistic regression will be used to analyse binary outcomes.

We will assess secondary outcomes using ANCOVA models for continuous measures and logistic regression models for binary measures.

We used the Kappa index to compare adherence measures and logistic regression to evaluate adherence-related risk factors.

ANCOVA modelling will be used to look at the difference between groups in change in continuous outcome measures, and logistic regression to analyse categorical variables.

Differences in sleep characteristics between the three assessment points were compared using Analyses of Variance with repeated measures, and logistic regression analyses were used to examine the stability of sleep variables.

A total of 207 serum biomarkers were measured and logistic regression was used with forward selection to choose a subset that were maximized on top of clinical variables including age, gender, hemoglobin A1c, eGFR, and albuminuria.

As the primary data analytical tools, we used multiple linear regression analysis (symptoms of ADHD as continuous measure) and logistic regression analysis (symptoms of ADHD as dichotomous: > 15 points as clinical cut-off) [ 16].

We used linear multivariable models (Statistical Analysis Software 9.2) to estimate the impact of air pollutants on birth weight as a continuous measure, and logistic regression models to estimate air pollution effects on birth weight as dichotomous outcome (<2500 grams versus ≥2500 grams).

Main Outcome Measures: Multiple and logistic regression variables (slope coefficients, partial R2, percent-correct fall history classifications) and fall prediction equations generated by using minimal sets of predictor variables.

For the associations between patients' characteristics, concordance with treatment guideline (as independent variable) and outcome measures, general and logistic models are planned.