Sentence examples for utilized a logistic regression from inspiring English sources

To assess for an association between in-hospital mortality, hemodialysis requirement, ventilator requirement and inotrope requirement we utilized a logistic regression model that adjusted for gender, age, urgency of procedure and American Society of Anesthesiologists (ASA) score.

Combining these measures, we utilized a logistic regression method (see Material and Methods) trained by carefully selected sets of 213 true positive and 173 negative interactions, allowing us to assess the quality of each interaction by a confidence score between 0 and 1.

vigiRank utilizes a logistic regression model, and produces a score for each drug ADR pair reflecting the probability that it represents an emerging safety signal (for details, see the Appendix).

Multivariable analyses for response and PFS utilized a multiple logistic regression and a Cox proportional hazards model, respectively.

In adjusted analyses, we utilized a multivariable logistic regression model to assess which, if any, of our provider or hospital specific variables were independently associated with 30-day readmission by adjusting for variables known to impact readmission.

In addition we utilized an ordinal logistic regression model to establish optimal predicted cut-off points for cognitive status classification (< 28 = severely impaired, 29 to 55 = moderately impaired, >56 = mildly impaired or normal).

The present study utilizes a binomial logistic regression with a fixed lag function, which is very close to a Poisson regression for these large populations, but with the extension of allowing for linear and nonlinear spline functions.

We utilized those expert opinions to develop a logistic regression model that predicted the probability of sustained yield management in central New York while exploring the factors that influence sustained yield management.

The approach utilizes a multinominal logistic regression technique and provides information on the predicted proportion of defective designs that may occur as a result of workplace and organizational problems.

As hypothesized, a logistic regression model that utilized a panel of biomarkers had substantially superior performance to single biomarkers for differentiating sepsis patients with ARDS from those without ARDS as evaluated by ROC curve analysis.

In the final step, to assess the simultaneous effect of different risk factors or risk indicators on the presence of any DR, a logistic regression model was utilized (Table 3).