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Table 1 Estimation methods and their conditions for initial parameters and estimation options

From: Performance comparison of first-order conditional estimation with interaction and Bayesian estimation methods for estimating the population parameters and its distribution from data sets with a low number of subjects

 

Estimation method

Methods

FOCE-I

BAYES(C)

BAYES(F)

BAYES

 

First-order conditional estimation with interaction

FOCE-I and BAYES composite method

BAYES with ω2 value fixed to true value

Markov chain Monte Carlo Bayesian

Conditions

 Initial parameters

THETAs & OMEGAs: Open true values

THETAs & OMEGAs: Open true values

THETAs: Open true values

OMEGAs: Fixed true values

THETAs & OMEGAs: Open true values

 Estimation options

SIG = 3

For FOCE-I,

SIG = 3

For BAYES,

CTYPE = 3

NBURN = 4000

NITER = 10,000

SIGL = 8

NSIG = 2

CTYPE = 3

NBURN = 4000

NITER = 10,000

SIGL = 8

NSIG = 2

CTYPE = 3

NBURN = 4000

NITER = 10,000

SIGL = 8

NSIG = 2