关于危险度指标的Bayes统计推断

Bayesian Inference on Risk Data

目的 解决二分类反应资料危险度指标区间估计问题。方法 用Bayes方法进行推断 ,用MC模拟技术解决统计计算问题。结果 解决了有关的危险度指标的精确估计问题。同时结合有信息先验 ,提高了估计的精度。结论 危险度指标的Bayes分析与经典方法相比较更精确 。

Objective To solve the problem of estimation for risk data.Methods Performing a Bayesian inference By Monte Carlo sampling technique.Results The estimation on risk scalar are obtained.Conclusion The Bayesian inference on risk scalar is more accuracy and efficiency than classical one's