GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA gee S-function, version 4.4 modified 96/09/27 (1996) Model: Link: Identity Variance to Mean Relation: Gaussian Correlation Structure: Independent Call: gee(formula = fev1 ~ age0 + ageL + female + factor(f508) + female * ageL + factor(f508) * ageL, id = id, data = cfkids, corstr = "independence") Summary of Residuals: Min 1Q Median 3Q Max -68.02531 -18.78544 0.4528422 18.92612 81.773 Coefficients: Estimate Naive S.E. Naive z Robust S.E. (Intercept) 104.80270402 3.9541742 26.50432147 7.3277672 age0 -1.86144569 0.1369152 -13.59560698 0.3180829 ageL -0.89100990 0.7972201 -1.11764603 0.6234188 female -1.13298564 2.2585368 -0.50164586 3.4361219 factor(f508)1 -5.27957215 3.7899395 -1.39304919 6.0431246 factor(f508)2 -8.77563564 3.8006035 -2.30901111 6.1682652 female:ageL -0.81876768 0.5070483 -1.61477244 0.4534132 ageLfactor(f508)1 -0.16238797 0.8575074 -0.18937209 0.6741755 ageLfactor(f508)2 -0.03930469 0.8546908 -0.04598703 0.6993124 Robust z (Intercept) 14.30213341 age0 -5.85207688 ageL -1.42923162 female -0.32972801 factor(f508)1 -0.87364940 factor(f508)2 -1.42270725 female:ageL -1.80578695 ageLfactor(f508)1 -0.24086899 ageLfactor(f508)2 -0.05620476 Estimated Scale Parameter: 646.5091 Number of Iterations: 1 Working Correlation [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 1 0 0 0 0 0 0 0 0 [2,] 0 1 0 0 0 0 0 0 0 [3,] 0 0 1 0 0 0 0 0 0 [4,] 0 0 0 1 0 0 0 0 0 [5,] 0 0 0 0 1 0 0 0 0 [6,] 0 0 0 0 0 1 0 0 0 [7,] 0 0 0 0 0 0 1 0 0 [8,] 0 0 0 0 0 0 0 1 0 [9,] 0 0 0 0 0 0 0 0 1 GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA gee S-function, version 4.4 modified 96/09/27 (1996) Model: Link: Identity Variance to Mean Relation: Gaussian Correlation Structure: Exchangeable Call: gee(formula = fev1 ~ age0 + ageL + female + factor(f508) + female * ageL + factor(f508) * ageL, id = id, data = cfkids, corstr = "exchangeable") Summary of Residuals: Min 1Q Median 3Q Max -68.31912 -18.7898 0.4391073 18.84938 81.81603 Coefficients: Estimate Naive S.E. Naive z Robust S.E. Robust z (Intercept) 103.8073974 6.6303158 15.6564786 7.2405130 14.3370225 age0 -1.8553199 0.3303683 -5.6159133 0.3202208 -5.7938776 ageL -0.5881485 0.3928425 -1.4971611 0.5234833 -1.1235285 female -1.1620133 3.3603666 -0.3457996 3.3321945 -0.3487231 factor(f508)1 -4.2821308 5.5493463 -0.7716460 5.8921667 -0.7267498 factor(f508)2 -6.7427003 5.5805260 -1.2082553 5.9831532 -1.1269476 female:ageL -0.8257359 0.2492897 -3.3123548 0.3706152 -2.2280143 ageLfactor(f508)1 -0.4873408 0.4222350 -1.1541933 0.5786653 -0.8421808 ageLfactor(f508)2 -0.6567967 0.4211252 -1.5596233 0.5681047 -1.1561190 Estimated Scale Parameter: 646.9016 Number of Iterations: 2 Working Correlation [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 1.0000000 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 [2,] 0.7702612 1.0000000 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 [3,] 0.7702612 0.7702612 1.0000000 0.7702612 0.7702612 0.7702612 0.7702612 [4,] 0.7702612 0.7702612 0.7702612 1.0000000 0.7702612 0.7702612 0.7702612 [5,] 0.7702612 0.7702612 0.7702612 0.7702612 1.0000000 0.7702612 0.7702612 [6,] 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 1.0000000 0.7702612 [7,] 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 1.0000000 [8,] 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 [9,] 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 0.7702612 [,8] [,9] [1,] 0.7702612 0.7702612 [2,] 0.7702612 0.7702612 [3,] 0.7702612 0.7702612 [4,] 0.7702612 0.7702612 [5,] 0.7702612 0.7702612 [6,] 0.7702612 0.7702612 [7,] 0.7702612 0.7702612 [8,] 1.0000000 0.7702612 [9,] 0.7702612 1.0000000