FEVExample3 - Knot locations automatic selection via Wand's...

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Knot locations - automatic selection via Wand's rule of thumb 1 Obs knots 1 7.0171 2 7.5647 3 7.8658 4 8.1999 5 8.5202 6 8.8214 7 9.1499 8 9.4812 9 9.8344 10 10.1109 11 10.4367 12 10.7734 13 11.1129 14 11.4908 15 11.8303 16 12.1697 17 12.4983 18 12.8159 19 13.1472 20 13.4812 21 13.7687 22 14.1027 23 14.4285 24 14.7351 25 15.0719 26 15.3895 27 15.7180 28 16.1040 29 16.4189 30 16.7885 31 17.1088 32 17.4648 33 17.7823 34 18.1793 35 18.6092
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Model 1: linear spline model 2 No modeling of between subject heterogeneity/within subject correlation The Mixed Procedure Model Information Data Set WORK.FEV2 Dependent Variable logfev1 Covariance Structure Banded Toeplitz Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Dimensions Covariance Parameters 2 Columns in X 2 Columns in Z 35 Subjects 1 Max Obs Per Subject 1993 Number of Observations Number of Observations Read 1993 Number of Observations Used 1993 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 -1632.81105467 1 5 -2002.16980810 0.00000173 2 1 -2002.17443866 0.00000001 Convergence criteria met. Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Variance 0.000296 0.000182 1.63 0.0514 Residual 0.02106 0.000669 31.50 <.0001
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Model 1: linear spline model 3 No modeling of between subject heterogeneity/within subject correlation The Mixed Procedure Fit Statistics -2 Res Log Likelihood -2002.2 AIC (smaller is better) -1998.2 AICC (smaller is better) -1998.2 BIC (smaller is better) -2002.2 Null Model Likelihood Ratio Test DF Chi-Square Pr > ChiSq 1 369.36 <.0001 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| Intercept -0.7885 0.1595 1956 -4.94 <.0001 age 0.1478 0.02197 1956 6.73 <.0001 Type 3 Tests of Fixed Effects Num Den Effect DF DF Chi-Square F Value Pr > ChiSq Pr > F age 1 1956 45.26 45.26 <.0001 <.0001 logfev1 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 age 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Fitted curve, Model 1
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