Sentence examples for multivariate outcomes such from inspiring English sources

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An additional direction for research is the joint network meta-analysis of multivariate outcomes, such as PVR and change in 6MWD in PAH [ 66].

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Regression analysis did not identify any significant multivariate predictors of key study outcomes such as identifying or reporting notifiable diseases; however, there may have been additional predictors of these outcomes that were not captured by our questionnaire.

Multigene predictors are conceptually similar to other multivariate outcome prediction models such as the AdjuvantOnline prognostic model or nomograms that predict complete response to neoadjuvant chemotherapy or the probability of finding additional positive axillary lymph nodes after a positive sentinel lymph node biopsy [ 6- 8].

In their multivariate analyses, they identify multiple important risk factors for postoperative outcomes, such as older age, performance status, ASA score, serum albumin, and intraoperative transfusion.

We calculated weighted frequencies of outcomes (such as making an unofficial payment), and examined variables related to key outcomes in univariate and multivariate analysis, using the Mantel-Haenszel procedure [ 29].

After identifying the final multivariate model using an outcome of any HPV infection, separate multivariate models were then generated that assessed the relationship of the identified demographic, behavioral and clinical factors on other outcomes such as (1) any HR-HPV infections; (2) HPV 52 infections; and (3) HPV 52 infections without HPV16 infections.

Enhancing Statistician Power: Flexible Covariate-Adjusted Semiparametric Inference for Randomized Studies with Multivariate Outcomes.

Properties of covariate-adjusted tests are explored for independent and multivariate outcomes.

Adverse subpopulation regression for multivariate outcomes with high-dimensional predictors.

Our cohort is one of the largest sets of patients with SRSE treated with cIV-PTB, yet our analysis was still underpowered to detect differences in outcome; as such, we were unable to build a multivariate outcome model.

Such analyses have been proposed to address confounding by indication, but there is little empirical evidence that they achieve better control than conventional multivariate outcome modeling.

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