Bayesian methods to improve sample size approximations

被引：0
|
作者：
Schmid, CH [1 ]
Cappelleri, JC
Lau, J
机构：
[1] Tufts Univ New England Med Ctr, Inst Clin Res & Hlth Policy Studies, Boston, MA 02111 USA
[2] Pfizer Inc, Global Res & Dev, Groton, CT 06340 USA
来源：
NUMERICAL COMPUTER METHODS, PT D | 2004年 / 383卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
引用
收藏
页码：406 / 427
页数：22
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