Research Article

Improved Landmark Dynamic Prediction Model to Assess Cardiovascular Disease Risk in On-Treatment Blood Pressure Patients: A Simulation Study and Post Hoc Analysis on SPRINT Data

Table 2

LM and LFM results in different scenarios when failure rate is 30%.

EstimateData without missingData with missing
LMLFMLMLFM
AICAICAICAIC

12100Mean0.4181.4066190.4221.4296141.760.4081.4212440.4351.4222411.11
SE0.2240.1820.2190.1800.3390.2740.3290.280
Bias-0.081-0.093-0.077-0.070-0.091-0.078-0.065-0.078
MSE0.2010.1380.2100.1400.3150.6800.2700.177
200Mean0.4591.40515210.4651.42015152.390.4581.4026240.4661.4226211.01
SE0.1490.1250.1500.1230.2170.1800.2200.183
Bias-0.040-0.095-0.034-0.079-0.042-0.097-0.033-0.077
MSE0.087-0.0640.0860.0630.1070.3280.1100.323
400Mean0.4631.40036460.4681.41536364.050.4581.41115370.4641.43015321.79
SE0.1030.0860.1040.0850.1470.1220.1500.124
Bias-0.036-0.100-0.032-0.085-0.041-0.089-0.035-0.070
MSE0.0390.0390.0400.0380.053-0.0490.0540.048

24100Mean0.4191.40512330.4491.509116736.180.4311.4214810.5041.53643325.41
SE0.1710.1440.1550.1280.2320.1940.2850.203
Bias-0.081-0.094-0.0510.009-0.069-0.0780.0040.036
MSE0.1990.1390.2340.1250.2650.1740.4140.306
200Mean0.4601.40030480.4951.500291271.260.4611.39912460.5391.590114352.59
SE0.1050.0240.1150.0200.1520.1270.1810.152
Bias-0.039-0.100-0.0050.000-0.038-0.1010.0380.059
MSE0.0900.0660.0980.0640.1100.0860.0960.120
400Mean0.4631.40178720.4981.5007011144.430.4561.41230640.5131.5792854107.85
SE0.0790.0600.0720.0200.1040.0860.1220.102
Bias-0.037-0.099-0.0020.000-0.044-0.0880.0130.079
MSE0.0390.0390.0400.0360.0520.0480.0690.074

40100Mean0.4211.40918080.4621.545166490.280.4311.4207040.5341.55859169.02
SE0.1270.1060.1450.1230.1910.1590.2510.213
Bias-0.078-0.090-0.0380.045-0.069-0.0790.0340.058
MSE0.2000.1370.2460.1600.261-0.1740.4690.395
200Mean0.4601.39944780.5041.5444178185.160.4601.40118290.5561.5641596142.63
SE0.0970.0830.0860.0720.1250.1050.1550.132
Bias-0.040-0.1010.0040.044-0.040-0.0990.0560.064
MSE0.1050.0740.0910.064-0.1110.0800.1680.161
400Mean0.4651.403107050.5131.54110106371.920.4581.41345010.5381.5634022291.24
SE0.0600.0500.0670.0500.0860.0720.1050.088
Bias-0.035-0.0960.0130.041-0.042-0.0680.0380.063
MSE0.0480.0400.0400.0400.0540.0480.0780.099

 = landmarks;  = sample size; LM = landmark model; LFM = landmark frailty model; AIC = Akaike information criterion;  = deviance; SE = standard error; MSE = mean square error.