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

the studied loci and SSS were tested using logistic regression under recessive genetic model using sex and age

of gross domestic product. We used various models to generate future health spending to 2050. Findings

Математическая модель достижения полного морфологического регресса у больных с диагнозом «Первично-операбельный HER2-позитивный рак молочной железы»A Mathematical Model for Complete Morphological Regression in Primary Operable HER2-Positive Breast

compression in uniaxial and biaxial regimes is analyzed using a chain model with a reduced number of degrees

performed, with increasingly stringent model constraints applied to assess configural, equal thresholds

, the existing RUL prediction methods based on stochastic model cannot simultaneously consider the fractal

dominant model), GRIA1 (rs2195450) (P = 0.015, OR = 1.35 in a dominant model), GRIN1 (rs6293) (P = 0

dominant model), GRIA1 (rs2195450) (P = 0.015, OR = 1.35 in a dominant model), GRIN1 (rs6293) (P = 0