Sentence examples for between outcomes for continuous from inspiring English sources

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Comparisons between outcomes for continuous variables were conducted using Wilcoxon two sample T test, while the chi-square test was used for categorical variables.

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For comparing outcomes for continuous variables between the oral appliance and CPAP group, unpaired Student's t tests were performed.

The estimated intervention effect will be reported as the mean outcome difference for continuous outcomes and OR for binary outcomes between intervention and control periods, assuming a constant treatment effect over time.

Analysis of time-to-event data was undertaken by using Cox regression, multivariable fractional polynomials being used to investigate nonlinear relations and interactions between outcome and continuous parameters for ER and HER2 RNA levels [ 30] and with STATA 10.1 software (College Station, TX, USA).

Around 20% of households were headed by women, generally widows.> -wrap-foot> Notestandardardeviationsns between brackets for continuous outcomes.

General sample size and power considerations for estimation of correlation and differences between groups for continuous outcome variables were performed using Stata IC version 11.

28, 29 To evaluate the association between pain severity (categorized as mild, moderate, or severe) and other outcomes, we used Kruskal Wallis for continuous outcomes and Chi-square or Fisher's Exact tests for categorical outcomes.

Covariate-adjusted baseline-to-nine-month change-scores will be compared between groups for each outcome using linear regression for continuous outcomes and logistic regression for dichotomous ones.

Baseline differences in the potential determinants of health outcomes were compared between groups using t tests for continuous outcomes and χ tests for categorical outcomes.

Univariate analyses investigated the relationship between CIN or AKI and ICU outcomes (use of RRT post scan, ICU mortality and ICU length of stay), using chi-squared tests for categorical outcomes and nonparametric tests for continuous outcomes.

When applicable, linear or logistic regression was used to adjust for differences in diabetes duration between age categories for continuous and dichotomous outcomes, respectively.

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