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. 2017 May 26;102(2):349–357. doi: 10.1002/cpt.621

Table 1.

Typical model parameter estimates with SDs, and random effect variances with SDs

Structural model
Parameter Estimate SD Ω SD
λ0 Proportion of theoretical thymic output13 (cells/day) 0.216 0.0711 1.57 0.55
d 0 Proportion of expected loss (/day) 0.477 0.0959 1.62 0.386
p 0 Proportion of expected proliferation (/day) 0.207 0.0239 0.251 0.0960
X 0 Initial concentration of T cells (cells/μL) 168 21.5 1.31 0.206
λh Time to recovery in thymic output (days) 133 20.3 1.27 0.247
λr Rate of recovery in thymic output 9.66 1.36 1.22 0.431
σ Variance of the residual error 0.219 0.0167
Covariate model
Parameter Covariate Effect size SD P value
X 0 Alemtuzumab ‐0.842 0.029 <0.001
X 0 ATG ‐0.939 0.052 <0.001
X 0 Acute GvHD 0.283 0.196 <0.001
λ0 Leukemia 1.32 0.442 <0.001
p 0 No conditioning ‐0.844 0.025 <0.001

ATG, antithymocyte globulin; GvHD, graft‐vs.‐host disease.

Parameter estimates and the random effect variances (Ωs) were estimated from the model‐building dataset. The SDs for both the parameter means and for the variances of the random effects were found through 200 bootstrap samples using PsN version 3.5.3.44 The significant categorical covariates were included through multiplication of the parameter by (1+Effectsize), testing the null hypothesis that the effect size is zero.