Sentence examples for multivariable analyses following from inspiring English sources

RDSAT also provided individual HIV outcome weights for use in multivariable analyses following methods outlined by Heckathorn [ 18].

For multivariable analyses, following the examination of correlations among predictor variables to assist in assessing issues of collinearity, logistic regression was performed.

While the number of patients is insufficient to draw solid conclusions from the univariate and multivariable analyses, the following observations were made.

We also accounted for time at risk for enterococcal bacteraemia by adjusting in the multivariable analyses for the following factors occurring in the 30 days prior to bacteraemia (for VRE and VSE cases) and death or discharge (for controls): number of days of antibiotic administration, neutropenia and hypoalbuminaemia, and use of medical devices (e.g. catheters).

Every baseline characteristic in Table 2 was tested univariably in a Cox regression analysis; variables not detailing infant feeding practices used for adjustment in the following multivariable analyses were chosen on the basis of their statistical significance univariably and are reported in Table 4.

Factors with p-value ≤ 0.2 were considered for the following multivariable analyses [ 31, 32].

Centre, patient age, diabetes, reoperation, EuroSCORE, combined coronary and valve operation, CPB duration, number of PRC units transfused and the three study variables nadir DO2, peak VCO2 and nadir DO2/VCO2 ratio during CPB were all associated with renal outcomes and were therefore admitted into the following multivariable analyses.

Multivariable analyses involved adjustment for the following potential confounders; age, BMI, smoking, alcohol consumption, and menopause, relationship and employment status.

Table 3 summarizes the results of the multivariable analyses relating reported noncompliance to the following workload factors: the numbers of Rotations, Post-midnight admissions, Discharges, and Total patients.

The following covariates were selected for multivariable analyses: type of surgery, age at diagnosis, TNM stage, and use of (neo)adjuvant chemotherapy.

32 The following variables were extracted as covariates for multivariable analyses: age, gender, ethnicity, marital status and diagnosis.