Kazantseva, A.V.,
Davydova, Yu. D.,
Enikeeva, R.F.,
Mustafin, R.N.,
Lobaskova, M.M.,
Malykh, S.B.,
Khusnutdinova, E.K. (2022) . Together with genetic variants, the examined
regression models included various sociodemographic parameters
-descriptors and self-consistent
regression. They typically predicted highly accurately the structures of the training
and QNAdescriptors using the self-consistent
regression, 6 statistically significant consensus models
: The results of Cox survival
regression model showed a series of statistically significant predictors
DAVYDOVA, YU. D.,
KAZANTSEVA, A. V.,
ENIKEEVA, R. F.,
MUSTAFIN, R.N.,
ENIKEEVA, R. F.,
LOBASKOVA, M. M.,
MALYKH, S. B.,
GILYAZOVA, I.R.,
KHUSNUTDINOVA, E.K. (2020) result of multiple
regression analysis, we observed the modulating effect of smoking and paternal
Zagidullin, N.S.,
Motloch, L.J.,
Musin, T.I.,
Bagmanova, Z.A.,
Lakman, I.A.,
Tyurin, A.V.,
Gumerov, R.M.,
Enikeev, D.,
Cai, B.,
Gareeva, D.F.,
Davtyan, P.A.,
Gareev, D.A. (2021) using a multivariable cox
regression model, the incidence of J-waves was an independent predictor
Lopukhova, Ekaterina A.,
Yusupov, Ernest S.,
Ibragimova, Rada R.,
Idrisova, Gulnaz M.,
Mukhamadeev, Timur R.,
Grakhova, Elizaveta P.,
Kutluyarov, Ruslan V. (2025) between the
regression model and expert assessments of the intermediate class severity, was 0
Pang, H.-Y.,
Zhao, L.-Y,
Zhang, Z.-Q,
Galiullin, D.,
Chen, X.-L.,
Liu, K.,
Zhang, W.-H.,
Yang, K.,
Chen, X.-Z.,
Hu, J.-K. (2021) was performed to balance baseline confounders, and COX
regression analysis was performed to identify independent