Consensus and controversy in pharmaceutical statistics

被引:51
作者
Senn, S
机构
[1] UCL, Dept Epidemiol & Publ Hlth, London WC1E 6BT, England
[2] UCL, Dept Stat Sci, London WC1E 6BT, England
关键词
Bayesian inference; bioequivalence; cross-over trials; frequentist inference; model checking; multiplicity; randomization; sequential trials;
D O I
10.1111/1467-9884.00227
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Drug development is a highly regulated business. Statistics plays an important part in measuring and reporting the efficacy and tolerability of pharmaceuticals and this is reflected in American, European, Japanese and international guidelines of some considerable detail which cover the way in which clinical trials are to be planned, run and analysed, The dominant framework for analysis is frequentist but Bayesian approaches are becoming more popular. Some controversial issues in drug development are considered in the light of the International Conference on Harmonisation's 1999 international statistical guidelines to see whether any Bayes-frequentist consensus is possible.
引用
收藏
页码:135 / 156
页数:22
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