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. Author manuscript; available in PMC: 2009 Jun 25.
Published in final edited form as: J Am Stat Assoc. 2009 Jun 1;104(486):512–523. doi: 10.1198/jasa.2009.0017

Table 4.

Summary of parameter estimates using the nonlinear random effects models and the Bayesian hierarchical models

Random effects models Non-linear Random Effects Models* Using NLMIXED
Bayesian hierarchical models using WinBUGS
I None IIa εi IIIc εi, μiB IVa εi, μiB, μiA I None IIa εi IIIc εi, μiB IVa εi, μiB, μiA
MSI specificity 902920937 893912932 889909929 894914934 898917936 898916934 893912938 895914939
MSI sensitivity 735819904 8929781000 8809821000 9229681000 745842951 843934985 872957996 740922990
MUT specificity 100010001000 906953999 8989521000 9479861000 917980998 926968996 916958990 935981998
MUT sensitivity 564622679 536594653 508656805 495641786 565621678 537590645 531630726 488645801
Family-recruitment prevalence 491555618 318495673 302465629 442532622 460536610 354520694 328476641 380532685
Registry-recruitment prevalence 284765 01843 01739 82847 244266 92975 92772 113382
σε (prevalence) 44510341624 3549041454 311601890 67210601790 6059591626 4977981384
σμA (MSI sensitivity) 88025294177 73716493766
σνA (MSI specificity)
σμB (MUT sensitivity) 1117421375 1377561375 6019441650 5979321610
σνB (MUT specificity)

NOTE: The triple notation of LPU denotes the point estimate P with 95% confidence limits (L, U) for the nonlinear random effects models, or the posterior median P with 95% equal tailed credible limits (L, U) using Bayesian hierarchical models. The numbers have been multiplied by 1,000 for presentation.

*

95% confidence intervals based on normal approximation.