I centered agenew to Age50 = (agenew-50)/10
Simultaneous Tests for General Linear Hypotheses
Fit: lmer(formula = Attention ~ imtleftmm * Age50 * Race * PovStat +
Sex + HseHldEducation + PhysMeanSBPsit + LabResChol + PhysBMI +
rxHTN + rxHypercholesterolemia + MedHxDiabetes + CVDclustersum +
CES + alcoholever + smokingever + marijever + harddrugever +
(Age50 | HNDid), data = imtcog, control = lmerControl(check.nobs.vs.nRE = "ignore"))
Linear Hypotheses:
Estimate Std. Error z value Pr(>|z|)
(Intercept) == 0 6.334719963 0.692909486 9.14220 < 2.22e-16
imtleftmm == 0 -0.488571284 0.724574001 -0.67429 0.50012847
Age50 == 0 0.275810802 0.474729691 0.58098 0.56125060
Race == 0 -1.509984033 0.722539778 -2.08983 0.03663323
PovStat == 0 -0.794156076 0.885058126 -0.89729 0.36956282
Sex == 0 -0.372992264 0.102943029 -3.62329 0.00029088
HseHldEducation == 0 0.124888238 0.016562068 7.54062 4.6851e-14
PhysMeanSBPsit == 0 -0.003057879 0.003079997 -0.99282 0.32079829
LabResChol == 0 0.002382399 0.001216312 1.95871 0.05014714
PhysBMI == 0 -0.012697251 0.007367665 -1.72338 0.08482070
rxHTN == 0 -0.191098142 0.130282088 -1.46680 0.14242969
rxHypercholesterolemia == 0 0.468093567 0.176360046 2.65419 0.00794984
MedHxDiabetes == 0 -0.449118410 0.182907540 -2.45544 0.01407124
CVDclustersum == 0 0.059243983 0.102144196 0.58000 0.56191231
CES == 0 -0.014820108 0.004633650 -3.19837 0.00138209
alcoholever == 0 0.077640782 0.126127877 0.61557 0.53817707
smokingever == 0 0.183894082 0.118660098 1.54976 0.12120033
marijever == 0 0.175797492 0.116960473 1.50305 0.13282603
harddrugever == 0 0.180701856 0.130855999 1.38092 0.16730311
imtleftmm:Age50 == 0 -0.814941056 0.731931962 -1.11341 0.26553198
imtleftmm:Race == 0 0.931646801 1.032739511 0.90211 0.36699733
Age50:Race == 0 -0.989502479 0.707986894 -1.39763 0.16222473
imtleftmm:PovStat == 0 0.533777620 1.296458320 0.41172 0.68054478
Age50:PovStat == 0 -0.464304340 0.883346095 -0.52562 0.59915228
Race:PovStat == 0 1.448179773 1.145673178 1.26404 0.20621472
imtleftmm:Age50:Race == 0 1.326843633 1.033429045 1.28392 0.19916879
imtleftmm:Age50:PovStat == 0 0.933961254 1.329902762 0.70228 0.48250590
imtleftmm:Race:PovStat == 0 -1.885569833 1.645634249 -1.14580 0.25187738
Age50:Race:PovStat == 0 0.999215788 1.135281660 0.88015 0.37877918
imtleftmm:Age50:Race:PovStat == 0 -1.729768332 1.670751520 -1.03532 0.30051785
(Univariate p values reported)
Simultaneous Tests for General Linear Hypotheses
Fit: lmer(formula = BVRtot ~ imtleftmm * Age50 * Race * PovStat +
Sex + HseHldEducation + PhysMeanSBPsit + LabResChol + PhysBMI +
rxHTN + rxHypercholesterolemia + MedHxDiabetes + CVDclustersum +
CES + alcoholever + smokingever + marijever + harddrugever +
(Age50 | HNDid), data = imtcog, control = lmerControl(check.nobs.vs.nRE = "ignore"))
Linear Hypotheses:
Estimate Std. Error z value Pr(>|z|)
(Intercept) == 0 8.3977292862 1.4802440436 5.67321 1.4015e-08
imtleftmm == 0 0.7498302704 1.5371664023 0.48780 0.6256913
Age50 == 0 1.4588651057 0.9714956363 1.50167 0.1331826
Race == 0 4.7033450309 1.5873933686 2.96294 0.0030472
PovStat == 0 1.4790252315 1.9219849879 0.76953 0.4415787
Sex == 0 -0.9123579753 0.2182655604 -4.18004 2.9146e-05
HseHldEducation == 0 -0.3276373473 0.0352647028 -9.29080 < 2.22e-16
PhysMeanSBPsit == 0 0.0124410385 0.0067181884 1.85184 0.0640482
LabResChol == 0 -0.0007292721 0.0025955658 -0.28097 0.7787346
PhysBMI == 0 0.0044423928 0.0155021711 0.28657 0.7744448
rxHTN == 0 -0.5064292934 0.2847914797 -1.77825 0.0753635
rxHypercholesterolemia == 0 -0.3598476397 0.3996202537 -0.90047 0.3678681
MedHxDiabetes == 0 0.0746992779 0.3991961023 0.18712 0.8515632
CVDclustersum == 0 -0.1200127987 0.2246058304 -0.53433 0.5931158
CES == 0 0.0697629262 0.0097723247 7.13883 9.4125e-13
alcoholever == 0 -0.2260799037 0.2682971591 -0.84265 0.3994257
smokingever == 0 -0.0219569717 0.2503708771 -0.08770 0.9301169
marijever == 0 -0.1554958335 0.2470848157 -0.62932 0.5291385
harddrugever == 0 0.0747763323 0.2751715756 0.27174 0.7858186
imtleftmm:Age50 == 0 0.2630355288 1.4886218947 0.17670 0.8597461
imtleftmm:Race == 0 -4.3868169061 2.2459704491 -1.95319 0.0507966
Age50:Race == 0 1.3810766948 1.4869307724 0.92881 0.3529874
imtleftmm:PovStat == 0 -0.9662498957 2.7849647277 -0.34695 0.7286272
Age50:PovStat == 0 -0.0147675360 1.8689477041 -0.00790 0.9936956
Race:PovStat == 0 -2.2625042374 2.5174264658 -0.89874 0.3687928
imtleftmm:Age50:Race == 0 -1.1773855121 2.1597353358 -0.54515 0.5856485
imtleftmm:Age50:PovStat == 0 -0.2011314561 2.8061241712 -0.07168 0.9428598
imtleftmm:Race:PovStat == 0 1.7067097927 3.5795531183 0.47679 0.6335088
Age50:Race:PovStat == 0 0.4054743894 2.4096483123 0.16827 0.8663699
imtleftmm:Age50:Race:PovStat == 0 -0.5234283102 3.5360745660 -0.14803 0.8823228
(Univariate p values reported)
Simultaneous Tests for General Linear Hypotheses
Fit: lmer(formula = CVLtca ~ imtleftmm * Age50 * Race * PovStat +
Sex + HseHldEducation + PhysMeanSBPsit + LabResChol + PhysBMI +
rxHTN + rxHypercholesterolemia + MedHxDiabetes + CVDclustersum +
CES + alcoholever + smokingever + marijever + harddrugever +
(Age50 | HNDid), data = imtcog, control = lmerControl(check.nobs.vs.nRE = "ignore"))
Linear Hypotheses:
Estimate Std. Error z value Pr(>|z|)
(Intercept) == 0 19.277224443 2.656939358 7.25543 4.0035e-13
imtleftmm == 0 -2.320534387 2.776842252 -0.83567 0.4033384
Age50 == 0 -5.241381111 1.836071297 -2.85467 0.0043081
Race == 0 -7.532407624 2.795041361 -2.69492 0.0070406
PovStat == 0 -4.021636222 3.411238798 -1.17894 0.2384232
Sex == 0 -3.025591119 0.396582871 -7.62915 2.3537e-14
HseHldEducation == 0 0.640433739 0.063803543 10.03759 < 2.22e-16
PhysMeanSBPsit == 0 -0.003370745 0.011811404 -0.28538 0.7753526
LabResChol == 0 -0.007498687 0.004705495 -1.59360 0.1110252
PhysBMI == 0 -0.002800398 0.028645027 -0.09776 0.9221212
rxHTN == 0 -0.017310951 0.498288702 -0.03474 0.9722864
rxHypercholesterolemia == 0 1.238592659 0.661901072 1.87127 0.0613083
MedHxDiabetes == 0 -0.014516114 0.685735991 -0.02117 0.9831111
CVDclustersum == 0 -0.654360869 0.372274545 -1.75774 0.0787922
CES == 0 -0.093006089 0.017923794 -5.18897 2.1146e-07
alcoholever == 0 0.174270845 0.489771100 0.35582 0.7219746
smokingever == 0 0.367025448 0.459335598 0.79904 0.4242698
marijever == 0 -0.029657497 0.453043881 -0.06546 0.9478056
harddrugever == 0 0.717885697 0.506747873 1.41665 0.1565845
imtleftmm:Age50 == 0 3.692265333 2.832089337 1.30372 0.1923274
imtleftmm:Race == 0 6.810569807 4.001957181 1.70181 0.0887910
Age50:Race == 0 3.575075952 2.787304267 1.28263 0.1996223
imtleftmm:PovStat == 0 4.753607986 5.003514334 0.95005 0.3420849
Age50:PovStat == 0 2.899499755 3.475076027 0.83437 0.4040724
Race:PovStat == 0 5.742652149 4.452794427 1.28967 0.1971640
imtleftmm:Age50:Race == 0 -4.012637060 4.063016094 -0.98760 0.3233483
imtleftmm:Age50:PovStat == 0 -2.757815526 5.201330774 -0.53021 0.5959639
imtleftmm:Race:PovStat == 0 -6.786768546 6.406099509 -1.05942 0.2894072
Age50:Race:PovStat == 0 -4.924470964 4.504402434 -1.09326 0.2742808
imtleftmm:Age50:Race:PovStat == 0 4.753953793 6.598498098 0.72046 0.4712418
(Univariate p values reported)