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Mean curves were used as initial condition for regression.
Blood lead levels followed a log normal distribution and were transformed in order to satisfy the normality condition for regression analysis.
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For the classical Wicke Kallenbach cell and binary mixtures, it was found that there are narrow intervals of outlet mole fractions in which the related boundary-value problem exhibits the maximum sensitivity to modifications of the transport parameters, i.e. there are the optimal conditions for regression analysis.
For hybrids and uncemented THRs, we performed additional time-dependent survival analyses because the country curves crossed each other indicating that the conditions for Cox regression were not fulfilled during the total time period.
Compared to stroke, the reference health condition, the regression coefficients for all other brain disorders indicate significantly better health for MCS.
Riccomagno, Schwabe and Wynn (RSW) (1997) have given a necessary and sufficient condition for obtaining a complete Fourier regression model with a design based on lattice points that is D-optimal.
(Taking logarithms rendered the variance of observed psurf approximately equal for all values of, a necessary condition for valid inference in linear regression).
The fact that some kinases in Table 1 show some significant correlation with the response when considered individually is in general not a sufficient condition for defining a predictive, multiple regression model.
As a general rule, 10 patients with the condition of interest per analysed variable are required for regression analysis.
The conditions for using linear regression were checked by normality plots of residuals, residuals versus predicted, and check of leverage and standardised residuals.
A necessary condition for unbiased prediction is that the regression coefficient does not deviate significantly from 1.
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