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Zoran Bursac

Researcher at Florida International University

Publications -  209
Citations -  7239

Zoran Bursac is an academic researcher from Florida International University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 34, co-authored 172 publications receiving 5909 citations. Previous affiliations of Zoran Bursac include University of Arkansas & Oklahoma State Department of Health.

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Purposeful selection of variables in logistic regression

TL;DR: An algorithm which automates the purposeful selection of covariates within which an analyst makes a variable selection decision at each step of the modeling process and has the capability of retaining important confounding variables, resulting potentially in a slightly richer model.
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Motivational Interviewing Improves Weight Loss in Women With Type 2 Diabetes

TL;DR: Motivational interviewing can be a beneficial adjunct to behavioral obesity treatment for women with type 2 diabetes as discussed by the authors, although the benefits may not be sustained among African-American women, who appeared to have a diminished benefit from the addition of motivational interviewing.
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Weight Loss of Black, White, and Hispanic Men and Women in the Diabetes Prevention Program

TL;DR: To provide the specific weight loss outcomes for African‐American, Hispanic, and white men and women in the lifestyle and metformin treatment arms of the Diabetes Prevention Program by race‐gender group to facilitate researchers translating similar interventions to minority populations, as well as provide realistic weight loss expectations for clinicians.
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Establishing Validity of the Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V)

TL;DR: Although both CAPE-V and GRBAS reliability coefficients varied across raters and parameters, this study reports slightly improved rater reliability using the CAPe-V to make perceptual judgments of voice quality in comparison to theGRBAS scale.

Theoretical Biology and Medical Modelling

TL;DR: The proposed hypertabastic model shows to be a flexible and promising alternative to practitioners in this field and demonstrates an accelerated failure time version of the model by applying it to data from a randomized study of glioma patients who underwent radiotherapy treatment with and without radiosensitizer misonidazole.