The Study and Application of Nonparametric Bayesian Methods for Benchmark Dose Estimation
- VernacularTitle:基准剂量估计的非参数贝叶斯方法研究与应用
- Author:
Caijiao GU
1
,
2
;
Tao WANG
;
Tong WANG
Author Information
1. 山西医科大学卫生统计教研室 030001
2. 海淀区东升镇社区卫生服务中心预防保健科
- Keywords:
Benchmark dose;
BMDS software;
Nonparametric method;
Dirichlet distribution;
Brownian motion
- From:
Chinese Journal of Health Statistics
2017;34(6):861-865
- CountryChina
- Language:Chinese
-
Abstract:
Objective Comparing the performance of the two nonparametric Bayesian methods for benchmark dose estimating under different dose response data,then comparing them with traditional parametric methods.Methods Introduce the basic principle of the nonparametric Bayesian method based on weighted process and stochastic process separately,then compared the estimations through simulate study and instance analysis.Results The simulate study shows that the posterior estimates were reasonably close to the target true BMD value for the two nonparametric methods,and NBP2 is more desirable compared to NPB1.The nine examples indicate that the BMD estimates from the nonparametric approaches generally fall into or very near the interval of those obtained from BMDS and nonparametric approaches tend to produce lower BMDLs than the parametric modeling approaches.Conclusion The posterior estimates were reasonably close to the target true BMD value for the two nonparametric methods,especially when standard parametric models fail to fit to the data adequately.The NPB2 method is slightly bet-ter than the NPB1 method in the aspect of estimation result and the software operation speed.
