Sentence examples for outcomes were analyzed using from inspiring English sources

Feasibility, safety, and tolerability outcomes were analyzed using descriptive statistics.

Longitudinal outcomes were analyzed using random effect regression models.

Outcomes were analyzed using linear mixed models, and mediation with a bootstrap resampling approach.

Radiographic and clinical outcomes were analyzed using Knee Society Score criteria and Western Ontario and McMaster Universities Osteoarthritis Index.

The associations between the preoperative factors and the postoperative outcomes were analyzed using the linear regression for the continuous outcome variables (the WOMAC pain and function scores) and the logistic regression for the categorical outcome variable (level of patient satisfaction).

Binary outcomes were analyzed using logistic regression methods.

Educational outcomes are analyzed using multinomial logistic regression models.

The effect of hemodilution regarding primary and secondary outcomes was analyzed using χ2 or Fisher's exact test for categorical and dichotomous variables, respectively.

Time until the initial occurrence of each of the clinical outcomes was analyzed using Cox proportional hazard (PH) regression analyses according to the principle of intention to treat.

Change in peritoneal solute transport rate (PSTR) and peritonitis were primary outcome measures, and the utility of IL-6 and IL-6 appearance rate (IL-6 AR) in predicting these outcomes was analyzed using multilevel linear regression and Cox proportional hazards models, respectively.

Differences in outcome were analyzed using the Fisher's Exact Test for categorical variables.