Sentence examples for multivariable analysis indicated from inspiring English sources

Multivariable analysis indicated that only the more robust "multistat" indicator showed significant change.

Multivariable analysis indicated that a PCR- positive result at 6 to 12 months post-BMT, the type of BMT donor (allogeneic matched donor v mismatched or unrelated), and the presence of acute GVHD were independent risk factors for subsequent relapse.

A multivariable analysis indicated that the presence of moderate/severe PVR (HR: 2.18, 95% CI: 1.57-3.02, P < 0.0001) or mild PVR (HR: 1.37, 95% CI: 1.14-1.90, P = 0.012) was associated with higher late mortality.Differences in baseline characteristics in patients with increasing severities of PVR may increase the risk of this complication.

Multivariable analysis indicated that alcohol consumption was associated with a lower odd for stage 3 CKD in men only.

However, multivariable analysis indicated only altitude to be negatively significantly associated with prevalence of S. haematobium infection.

Multivariable analysis indicated that higher aspiration for college education was related to higher birthweight among non-Black adolescents.

Although dissatisfaction with the multistat appeared to increase with each subsequent survey episode, the multivariable analysis indicates otherwise.

The finding from the multivariable analysis indicating that older maternal age is a protective factor was unexpected.

The existence of publication bias is always a possibility in systematic reviews, but many risk factors were shown to be nonsignificant on multivariable analysis, indicating that negative as well as positive results were represented in the studies.

Despite this adverse effect and similarity to each marker alone, the prognostic value of this combination of CD166 and CD44s did not contribute independent prognostic information in multivariable analysis, indicating no added benefit in risk stratification for patients with colorectal cancer in this series when evaluating double negativity compared with single negativity and effect on outcome.

Multivariable adjusted analysis indicated that women with a high school education had 2-fold increased odds of being overweight or obese compared with those with no formal education (odds ratio [OR]: 2.02, 95% confidence interval [CI]: 1.20-3.42).