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classification model based on the logistic regression method has been proposed and developed. The developed

model consisting of power-law nonlinearities is further performed. This involves performing reductions

Маршрутизация и логистика больных туберкулезом легких при отборе на хирургическое лечение в Республике БашкортостанRouting and Logistics of Pulmonary Tuberculosis Patients During Selection for Surgical Treatment

variants across these pathways in 279 MetS patients and 397 healthy individuals. Using logistic regression

ability of the model containing polygenic scores for the variants associated with T2D in our dataset

outcome were studied by binary logistic regression. Results. Univariate analysis showed that the risk

ПРОГНОЗИРОВАНИЕ РЕЗУЛЬТАТОВ ЛЕЧЕНИЯ ПЕРВИЧНОГО ПУЗЫРНО-МОЧЕТОЧНИКОВОГО РЕФЛЮКСА У ДЕТЕЙ

. The performance of the model was assessed with its discrimination, calibration, and clinical usefulness. A total

). Logistic regression was used to detect the association of SNPs and haplotypes of linked loci in different

tested using logistic regression analysis under additive genetic model adjusted for sex. Meta

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