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目的:研究对称分布用于药代动力学中参数的估计是否合理。方法:在广义线性模型框架下,以贝叶斯方法推导出模型中各回归参数的后验,再用MCMC算法结合模拟得出参数的具体值。结果:对5 000次模拟的结果进行统计分析,得到各参数的点估计值和置信域及相应图表,符合模拟的预设值。对称分布与广义线性模型结合,得到了较好的参数估计值。结论:群体药物代谢动力学中可以考虑使用对称分布进行参数的估计。
OBJECTIVE: To investigate whether the symmetry distribution is suitable for the estimation of parameters in pharmacokinetics. Methods: In the framework of generalized linear model, the posterior test of each regression parameter in the model was deduced by the Bayesian method. The MCMC algorithm was combined with the simulation to obtain the specific value of the parameter. Results: The results of 5 000 simulations were statistically analyzed, and the point estimates and confidence domains of each parameter and the corresponding charts were obtained, which met the preset values of simulation. Symmetric distribution and generalized linear model combine to obtain better parameter estimation. CONCLUSIONS: Symmetric distribution can be used to estimate parameters in population pharmacokinetics.