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Prostate cancer screening basedon multivariant analysis
Kaprin A.D., Kostin A.A., Kulchenko N.G., Tolkachev A.O.
, the results of the prostate ultrasonography. Using statistical analysis, we discovered correlation
Multivariable analysis of primary care physician adherence to guideline-recommended pharmacotherapy of stable coronary artery disease
Zyryanov S.K., Fitilev S.B., Vozzhaev A.V., Shkrebniova I.I.
population was divided in two groups by level of physician adherence measured by PGAI. Statistical analysis
Динамика заболеваемости раком щитовидной железы населения России: основные факторы риска
Иванов В.К., Горский А.И., Полькин В.В., Андреев В.Г., Кащеев В.В., Туманов К.А., Иванов С.А., Каприн А.Д.
According to GLOBOCAN 2020 Statistics based on estimates for 36 cancers incidence and mortality
Empowering Remote Healthcare with Federated Learning for Early Diagnosis of Pulmonary Disease
Shvetsov Alexey V., Kumar Santosh, Alsamhi Saeed Hamood
and professionals) for statistical analysis of critical cases of COPD for early diagnosis.
New approaches to laboratory diagnosis of neurosyphilis
Dmitriev G.A., Frigo N.V., Negasheva E.S., Kitaeva N.V., Dolya O.V.
(Intrathecal T. pallidum assay index), or serum-liquor ratio, vs. multivariate discriminant analysis (MDA
Статистический анализ и моделирование стоимости квартир на вторичном рынке жилой недвижимости г. Минска
Алёхина, А. Э., Федюкович, Т. В.
of residen- tials of real estate on the basis of multivariate statistical analysis. The statistical analysis
Interpolation of Multivariable Functions by Means of the Nonlinear Schema of Metric Analysis
Kryanev A.V., Ivanov V.V., Malinkin I.A., Sevastyanov L.A., Udumyan D.K.
A problem of the Interpolation of multivariable function whose values are given at a finite number
Prognostic factors in treatment for low-grade brain supratentorial infiltrative gliomas
Solodky V.A., Panshin G.A., Kharchenko N.V., Milyukov S.M., Izmailov T.R.
The study showed the results of univariate and multivariate analyses of treatment of patients
Measurement of cognitive growth factors of regional economy based on panel data
Kadochnikova E., Ismigilov I.
, applied analysis. It is emphasized that there is the need for multivariate statistical methods
Spatial Approach to the Analysis of the Employment Data in Siberia Based on the 1897 Census (the Experience of Multivariate Statistical Analysis of the District’s Data)
Bryukhanova, Elena A., Dronov, Sergey V., Chekryzhova, Oksana I., Брюханова, Е.А., Дронов, С.В., Чекрыжова, О.И.
allows to make a more detailed spatial analysis of the data on employment of the 1897 census. The key

Страница 5 из 7839

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