Sentence examples for multivariate analysis adjusted from inspiring English sources

"multivariate analysis adjusted" is correct in written English.
You can use it when referring to a form of statistical analysis which looks at multiple variables to gain insight into a certain phenomenon. For example: "After multivariate analysis adjusted for other factors, the researchers found a significant increase in sales."

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By multivariate analysis adjusted on confounders, having an undetermined ARF etiology was independently associated with mortality.

The univariate association between the number of nephrotoxic medication and AKI persisted in the multivariate analysis adjusted on baseline SAPS II score (p < 0.001).

These differences were confirmed in the multivariate analysis (adjusted for age group, sex, comorbidities, ICU admission, emergency admission, organ dysfunction, number of organ failures, sepsis source and bacteraemia).

These differences were confirmed in the multivariate analysis adjusted for all significant variables (age group, sex, comorbidities, ICU admission, emergency admission, organ dysfunction, number of organ failures, infection source and presence of bacteraemia) (Tables 1, 2).

Length of stay and mortality both decrease yearly during the study period to a statistically significant degree according to the multivariate analysis adjusted for demographic data, comorbidities, infection source and number of organ failures.

This randomization was used to deliver a wide PEEP range during the final part of the study, in order to obtain multiple combinations of PEEP and VT, so as to perform a multivariate analysis adjusted for PEEP and VT.

In the multivariate analysis, adjusted for preoperative neurological status and steroid administration, the odds of at least a 2 grade AIS improvement were 2.8 times higher amongst those who underwent early surgery as compared to those who underwent late surgery (OR = 2.83, 95% CI 1.10,7.28).

The multivariate analysis adjusted for age, sex, and variables yielding significant results in the univariate analyses (BMI, neuroleptic use, and IGFBP3).

We performed a multivariate analysis adjusted by year of diagnosis, stage at diagnosis and oncological treatment (radiotherapy, chemotherapy, ET), stratified on tumour characteristics to evaluate the independent effect of age on survival.

Importantly, the association between Hcy and NVAF does not stem from the presence of coronary artery disease as it persists at the multivariate analysis adjusted also for history of coronary artery disease.

However, in-hospital mortality was significantly associated only with the length of "time at risk" in multivariate analysis (adjusted OR, 0.9; 95% CI, 0.83 to 0.98, logistic regression of backward stepwise procedure).

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