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Table 1 Parameter estimates with synthetic data.

From: Reconstruction of cell population dynamics using CFSE

Model 1     
    Proportion of simulations within
Par True Mean (SD) 95% CI 99% CI
γ 0 0.2 0.200 (0.003) 0.947 0.989
δ 0 0.7 0.700 (0.002) 0.951 0.990
γ 1 0.7 0.700 (0.006) 0.949 0.990
δ 1 0.25 0.250 (0.007) 0.950 0.991
Model 2     
    Proportion of simulations within
Par True Mean (SD) 95% CI 99% CI
γ 0 0.2 0.200 (0.002) 0.950 0.989
δ 0 0.7 0.700 (0.003) 0.952 0.990
γ 1 0.7 0.700 (0.005) 0.951 0.989
δ 1 0.25 0.250 (0.004) 0.950 0.990
Model 3     
    Proportion of simulations within
Par True Mean (SD) 95% CI 99% CI
f A 0.1 0.101 (0.013) 0.953 0.987
γ 0 A MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaaiiGacqWFZoWzdaqhaaWcbaGaeGimaadabaGaemyqaeeaaaaa@3080@ 0.15 0.150 (0.041) 0.943 0.984
δ 0 A MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaaiiGacqWF0oazdaqhaaWcbaGaeGimaadabaGaemyqaeeaaaaa@307E@ 0.70 0.706 (0.055) 0.951 0.981
γ 1 A MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaaiiGacqWFZoWzdaqhaaWcbaGaeGymaedabaGaemyqaeeaaaaa@3082@ 0.70 0.699 (0.020) 0.951 0.990
δ 1 A MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaaiiGacqWF0oazdaqhaaWcbaGaeGymaedabaGaemyqaeeaaaaa@3080@ 0.20 0.200 (0.035) 0.942 0.981
γ B 0.40 0.400 (0.003) 0.955 0.992
δ B 0.35 0.350 (0.003) 0.946 0.983
  1. For each of the models illustrated in Figure 2 we show the true parameter values and the mean and standard deviation of the QL parameter estimates generated from 10000 simulated datasets. As a check of the validity of the assumption of normality of the QL estimators, we indicate the proportion of the simulations in which the true parameters lay within the predicted 95 and 99% confidence intervals obtained from the information matrix evaluated at the QL estimate