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This association held up in multivariable analysis when controlling for age, race, and hypertension status.
Table 3 also shows results of multivariable analysis when all factors were controlled for statistically.
Variables were taken forward for multivariable analysis when significant at p < 0.2 [ 13].
However, TSR did not have independent prognostic significance in multivariable analysis, when adjusted for known prognostic variables.
Adjustment for age was performed on multivariable analysis when age was found to be significant on univariable analysis.
However, TSR did not have independent prognostic significance in multivariable analysis when adjustments were made for age, stage, grade, and lymphovascular invasion (Table 3).
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(1) Diagnostic criteria was forced into the multivariable analysis (2) When claw disease increased by 10%, the mastitis incidence rate was increased by 3.67 cases/100-cow years.
Figure 2 shows PPVs for pancreatic cancer for the symptoms shown to be independently associated in multivariable analysis – individually, when repeated and in combination with another symptom for patients aged ⩾60 years of either sex.
In the multivariable adjusted analysis, when compared with general anesthesia the mortality risk did not differ significantly between regional anesthesia (risk ratio 0.93, 95% confidence interval 0.78 to 1.11) or combined anesthesia (1.00, 0.82 to 1.22).
Multivariable analysis showed that when other factors were controlled for, being an upgrading student had a significantly negative impact on perceptions of rural posts.
The risk of death increased by 1.6 per SD endostatin in multivariable Cox regression analysis when adjusting for the confounding effects of age, gender, disease duration, dcSSc, pulmonary fibrosis, PH and SRC (95 % CI: 1.2 2.1 %, P = .001).001
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