Sentence examples for multivariate logistical regression from inspiring English sources

All factors were included in a multivariate logistical regression model; statistically significant findings are shown in Table 2. *Multivariate logistic regression analysis for 830 respondents, sample weighted to the age and sex distribution of the population of Australia (9 ).

Risk of infection was modeled using a multivariate logistical regression analysis.

Multivariate logistical regression was used to test whether or not individual patients used published wait time to decide which site to visit.

After multivariate logistical regression analysis and a stepwise selection of variables (Table 3), the gestational age at birth (in weeks), the birth weight (in grams), an intra-thoracic position of liver and the presence of a centrally inserted CVC were significantly associated with the occurrence of an infection.

The associations between potential risk factors and SCCmec II/III or SCCmec IV/V in patients with MRSA bacteremia were also investigated using univariate and multivariate logistical regression.

Table 6 shows risk factors for trachoma follicular (TF) obtained through univariate and multivariate logistical regression after accounting for clustering in Chikwawa and Mchinji districts respectively.

Bivariate and multivariate logistical regressions were conducted using Stata 12.

Additional file 4: Multivariable logistical regression analysis for postoperative infections.

Comparison was made using multivariable logistical regression analysis.

A multivariable logistical regression analysis assessed whether infectious complications were independently associated with blood transfusion.

Multivariate binary logistical regression models predicting disease severity were constructed using patient characteristics, adjusted NPA cytokine concentrations and adjusted NPA hRSV load (table 3).