首页> Journal of pharmacokinetics and pharmacodynamics> Approaches for modeling within subject variability in pharmacometric count data analysis: dynamic inter-occasion variability and stochastic differential equations

Approaches for modeling within subject variability in pharmacometric count data analysis: dynamic inter-occasion variability and stochastic differential equations

导出原文传递

翻译打印收藏纠错

第一作者： Deng, Chenhui

作者： Deng, Chenhui ^[1] ; Plan, Elodie L. ; Karlsson, Mats O.

作者单位： Uppsala Univ, Dept Pharmaceut Biosci, POB 591, S-75124 Uppsala, Sweden ^[1]

关键词 Within subject variability Count data Dynamic inter-occasion variability Stochastic differential equations

发布时间 2017-04-15

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Journal of pharmacokinetics and pharmacodynamics

2016年43卷3期

305-314页

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

点击下载本期目录封面

Journal of pharmacokinetics and pharmacodynamics

2016年43卷3期

305-314页

检索历史清除

Approaches for modeling within subject variability in pharmacometric count data analysis: dynamic inter-occasion variability and stochastic differential equations

Journal of pharmacokinetics and pharmacodynamics

相似文献

同项目论文

Journal of pharmacokinetics and pharmacodynamics

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Approaches for modeling within subject variability in pharmacometric count data analysis: dynamic inter-occasion variability and stochastic differential equations

Journal of pharmacokinetics and pharmacodynamics

相似文献

同项目论文

Journal of pharmacokinetics and pharmacodynamics

相关期刊

检索历史清除