Sentence examples for multivariate analysis led from inspiring English sources

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Logistic regression and Cox multivariate analysis led to the identification of genomic imbalances as an independent prognostic factor.

Multivariate analysis led to the following PK covariate model (±95%): with CEN=0 or =1 if data corresponded to Paris or Toulouse, respectively.

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Multivariate analysis further led to the definition of these pathways (p-value < 0.0001) as an independent prognostic factor for recurrence together with clinical variables, including tumor number (p-value = 0.0212), tumor size (p-value = 0.0066) and Edmondson Steiner's grade (p-value = 0.0082), in our HBV-positive HCC dataset.

Multivariate analysis with CART led to a definition of 5 classes of persons with a significant level of risk.

Confounding bias may have been introduced if a study did not control for the effects of other variables in multivariate analysis and may lead to either over- or underestimation of the impact of residential crowding on risk of severe RSV disease, depending on how correction for other variables affects the outcome with the crowding variable.

Multivariate analysis of the monitoring dataset led to the generation of a number of hypotheses regarding phytoplankton composition, individual nuisance species, environmental factors, and zooplankton composition.

The results of our study show adjuvant docetaxel increases risk of mild swelling; however, multivariate analysis indicates that this does not subsequently lead to increased risk of lymphedema.

A multivariate analysis using feature selection and supervised machine learning leads to a reasonable classification performance with a weighted F-score of 83.7% and an accuracy of 83.9%.

Multivariate analysis combining the CV5 variable and the AF trait led to a significant increase in maximum LRT compared to the AF trait.

The association with ferritin in the multivariate analysis was in a positive direction; higher lead values were found in those with higher ferritin.

Multivariate analysis of EU-wide data on agricultural landscapes and farming-systems led to identify thirteen macro-regions in the EU.

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