Sentence examples for multivariate analysis defined from inspiring English sources
Multivariate analysis defined adjuvant chemotherapy, lactate dehydrogenase (LDH), Karnofsky index (KI), and pleural and lung metastases to be the five main variables correlated with ORR.
The exploratory multivariate analysis defined that leiomyosarcoma had a better outcome compared to other histology subtypes.
To address this issue, we controlled for personal smoking history in multivariate analysis, defined as ever smoking or current / past smoking.
Multivariate analysis defined the relationship between hospital mortality and standard MPM physiologic variables plus patient type, location and lead time prior to ICU admission.
Multivariate analysis defined a panel of five serum cfnucleosome biomarkers that gave an area under the curve (AUC) of 0.95 for the discrimination of pancreatic cancer from healthy controls, which was superior to the diagnostic performance of the common pancreatic tumor biomarker, carbohydrate antigen 19-9 (CA 19-9) with an AUC of 0.87.
Multivariate analysis defining factors associated with survival utilized a stepwise Cox's proportional hazard regression model.
Similar results were obtained when performing multivariate analysis within defined molecular subtypes (mutations in IDH, CIC or FUBP1, TP53, EGFR, PTEN, NF1 or trisomy of Chr7 combined with LOH of Chr 10 or 1p19q codeletion), data not shown.
With a larger study group and more data available, a multivariate analysis could define the independent effect of intraoperative contamination.
Parameters with P < 0.1 in univariate regression analysis were examined in multivariate analysis to define the independent contribution of each possible risk factor [ 10].
However, sample size was not sufficient to perform an appropriate multivariate analysis to define the independent contribution of duration of illness, antiviral drug therapy, and other variables to patient outcome.
Such a multivariate analysis should define a (joint) probability distribution over pandemic transmissibility and severity, pandemic frequency, pre-pandemic vaccine efficacy, and actual vaccination coverage achieved; the expected effectiveness and cost effectiveness of intervention strategies could then be estimated by sampling from this distribution.
