Coefficients of the segmented regression model of linear parameter changes as a function of fetal age: First segment: <i>Y</i> = <i>a</i><sub>0</sub> + <i>a</i><sub>1</sub> * <i>Age</i> (<i>Age</i> from 10 weeks to <i>Age</i><sub>cut-off</sub>), second segment: <i>Y</i> = <i>b</i><sub>0</sub> + <i>b</i><sub>1</sub> * <i>Age</i> (<i>Age</i> from <i>Age</i><sub>cut-off</sub> to 26 weeks), <i>a</i><sub>0</sub> –first segment constant, <i>a</i><sub>1</sub> - slope of the first segment, <i>b</i><sub>0</sub> –second segment constant, <i>b</i><sub>1</sub>—slope of the second segment), R<sup>2</sup>—coefficient of determination.
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Coefficients of the segmented regression model of linear parameter changes as a function of fetal age: First segment: Y = a0 + a1 * Age (Age from 10 weeks to Agecut-off), second segment: Y = b0 + b1 * Age (Age from Agecut-off to 26 weeks), a0 –first segment constant, a1 - slope of the first segment, b0 –second segment constant, b1—slope of the second segment), R2—coefficient of determination.
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2024-12-27
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