classification model based on the logistic
regression method has been proposed and developed. The developed
Kazantseva, Anastasiya,
Davydova, Yuliya,
Enikeeva, Renata,
Mustafin, Rustam,
Malykh, Sergey,
Lobaskova, Marina,
Kanapin, Alexander,
Prokopenko, Inga,
Khusnutdinova, Elza (2023) to address the “missing heritability” problem. We designed
regression models, which included PGS using 27
Xu, Dongxiao,
Guo, Jiaojiao,
Zheng, Bingjie,
Wu, Qiaowei,
Gareev, Ilgiz,
Beylerli, Ozal,
Beilerli, Aferin,
Shi, Huaizhang (2023) features were recorded. Postoperative CHS after surgery were examined. Multivariate logistic
regressionMukhtarova, Liliya A.,
Fedorova, Yulia Yu.,
Karunas, Aleksandra S.,
Prokofyeva, Darya S.,
Nurgalieva, Alfia Kh.,
Khusnutdinova, Elza K.,
Zagidullin, Shamil Z. (2023) ), and HRH3 (rs3787429) genes was performed by real-time polymerase chain reaction. Using
regression analysis
outcome were studied by binary logistic
regression. Results. Univariate analysis showed that the risk
Bovell-Ammon, B.J.,
Kimmel, S.D.,
Cheng, D.M.,
Truong, V.,
Michals, A.,
Vetrova, M.,
Hook, K.,
Idrisov, B.,
Blokhina, E.,
Krupitsky, E.,
Samet, J.H.,
Lunze, K. (2023) antiretroviral therapy (ART) initiation using multivariable logistic
regression to adjust for demographic,
social
Kazantseva, A.V.,
Yakovleva, D.V.,
Davydova, Yu. D.,
Kosareva, A.R.,
Valinurov, R.G.,
Khusnutdinova, E.K. (2023) ). A series of logistic
regression (PLINK v.1.09) confirmed the association of REV3L rs458806