View full-text article in PMC J Pharmacokinet Pharmacodyn. 2016 Mar 2;43:223–234. doi: 10.1007/s10928-016-9468-y Search in PMC Search in PubMed View in NLM Catalog Add to search Copyright and License information © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. PMC Copyright notice Table 1. Models, parameter values (θ,Ω,σ) and effect sizes (θH∗) used for the evaluation of the algorithms Structural model Parameter model Parameter values θH∗ θ Ω Σ 1. Binary P(yij|ηi)=p(tj)ifyij=11-p(tj)ifyij=0 p(t)=expit(b+at) b=θ1+ηi1a=(θ2+ηi2)(1-θHzi) 0.3 -14 0.4004 – 2. Time-to-event (TTE) P(yi)=h(yi)S(yi)ifyi<TS(T)ifyi=T lclh(t)=λγ(λ·t)γ-1S(t)=exp(-∫0th(x)dx) λ=θ1exp(θHzi)γ=θ2 0.4 0.22 – – 3. Count P(yij|ηi)=λ(tj)yijyij!e-λ(tj) λ(t)=b+A(1-exp(-k·t)) bi=θ1exp(ηi1)Ai=θ2exp(ηi2)ki=θ3exp(ηi3+θHz~i) 0.3 142 0.090000.090000.09 – 4. PK [12] yij=A1(tj)V(1+εij) dA1dt=QVpA2-ClV+QVA1dA2dt=QVA1-QVpA2 Cl=θ1exp(ηi1)(1+θHz~i)V=θ2exp(ηi2)Q=θ3exp(ηi3)Vp=θ4 0.2 0.040.143.622.9 0.0900.1600.0400.1601.23 0.06 5. PKPD [8] yij′=A2(tj)V(1+ε1,ij)yij″=R(tj)+ε2,ij dA1dt=-kaA1dA2dt=kaA1-ClVA2dRdt=koA2V/(C50+A2V)-koR Cl=θ1exp(ηi1)V=θ2exp(ηi2)ka=θ3ko=θ4exp(ηi3)C50=θ5exp(ηi4)(1+θHzi) 0.3 1010020.20.3 0.4900000.4900000.4900000.49 0.040.04