TY - CHAP M1 - Book, Section TI - Origin of Mathematical Models for Anesthetic Drug–Drug Interactions A1 - Johnson, Ken B. Y1 - 2015 N1 - T2 - Clinical Pharmacology for Anesthesiology AB - Modeling is the technique of defining a mathematical equation that fits a data set as accurately as possible. Linear regression could be considered as a rudimentary form of modeling. A linear regression analysis of a data set determines the best-fitting linear correlation between data couples by minimizing the sum of squares of all perpendicular distances from each observation to the proposed line (least-squares principle). As such, the optimal value for parameters a and b in an equation of the form y = a ⋅ x + b can be determined from an observational data set. The resulting linear equation describes the correlation of the data couples within the population with the least possible scatter (or residual error). Consequently, the resulting equation can be used to predict prospectively which y can be expected for every known x, with the smallest possible error. SN - PB - McGraw-Hill Education CY - New York, NY Y2 - 2022/08/15 UR - accessanesthesiology.mhmedical.com/content.aspx?aid=1103963220 ER -