theory, we propose a submicron-sized golden-
disk and graphene composite structure. By varying
YANG, G.,
SUN, J.,
ZHANG, D.,
ZHANG, R.,
ZHONG, Y.,
WANG, X.,
CHEN, X.,
LIU, B.,
LI, L.,
ZHAO, S.,
WANG, L.,
YUAN, C.,
LONG, M.,
JIANG, H.,
LI, C.,
ZHOU, Q.,
LIAN, A.,
GAREEV, I. (2020) were investigated using univariable and multivariable logistic
regression models. Results: Depressed
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.SH.,
MOTLOCH, LUKAS J,,
GAREEVA, D.F.,
HAMITOVA, AYSILU,
LAKMAN, I.A.,
KRIONI, ILJA,
POPOV, DENIS,
ZULKARNEEV, R.KH.,
PAAR, VERA,
KOPP, KRISTEN,
JIRAK, PETER,
ISHMETOV, V.SH.,
HOPPE, UTA C.,
TULBAEV, EDUARD,
V.N. Pavlov (2020) .001). When two biomarkers were combined in a multivariate Cox
regression model, relevant improvement of risk
KAZANTSEVA, A.V.,
DAVYDOVA, YU.D.,
ENIKEEVA, R.F.,
LOBASKOVA, M.M.,
MUSTAFIN, R.N.,
MALYKH, S.B.,
TAKHIROVA, Z.R.,
KHUSNUTDINOVA, E.K. (2020) ), and AVPR1B (rs33911258) genes, and gene-by-environment interactions were tested with linear
regression