. Author manuscript; available in PMC: 2010 Aug 13.

Published in final edited form as: J Pharmacokinet Pharmacodyn. 2009 Aug 13;36(4):367–379. doi: 10.1007/s10928-009-9127-7

Table 1.

Summary of relative bias (RB) for parameter estimates and absolute estimation error (AEE) for standard error estimates for all parameters and all models.

Poisson model
	λ			Ω(λ)
RB (parameter) (%)	−0.6			0.75
AEE (standard error) (%)	−0.37			−0.13
Poisson model with Markov element
	λ1	λ2	Ω(λ1)	Ω(λ2)	Cov(λ₁–λ₂)
RB (parameter) (%)	−0.41	−0.07	−2.39	−4.13	−1.36
AEE (standard error) (%)	−0.13	0.17	−1.33	−0.93	−0.33
Poisson model with mixtures in individual observations
	λ1	λ2		MP	Ω(λ1)
RB (parameter) (%)	−0.4	0.54		−0.05	−0.13
AEE (standard error) (%)	−0.47	−1.70		−0.55	−0.61
Zero inflated Poisson model
	λ1	P0		Ω(λ1)	Ω(P0)
RB (parameter) (%)	−04.05	−0.75		−1.08	1.62
AEE (standard error) (%)	0.14	−0.74		−0.64	−0.59
Generalized Poisson model
	λ1	δ		Ω(λ1)	Ω(δ)
RB (parameter) (%)	−0.19	−0.21		−1.03	1.26
AEE (standard error) (%)	0.02	−0.79		−0.41	−1.61
Negative binomial model
	λ1	Ovdp		Ω(λ1)	Ω(Ovdp)
RB (parameter) (%)	−0.02	−0.92		−1.42	2.38
AEE (standard error) (%)	−0.01	−1.36		−0.79	−0.33