binomial;
exact confidence intervals;
normal approximation;
sample size;
D O I:
10.1016/S0378-3758(97)00068-2
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:
In experiments designed to estimate a binomial parameter, sample sizes are often calculated to ensure that the point estimate will be within a desired distance from the true value with sufficiently high probability. Since exact calculations resulting from the standard formulation of this problem can be difficult, "conservative" and/or normal approximations are frequently used. In this paper, some problems with the current formulation are given, and a modified criterion that leads to some improvement is provided. A simple algorithm that calculates the exact sample sizes under the modified criterion is provided, and these sample sizes are compared to those given by the standard approximate criterion, as well as to an exact conservative Bayesian criterion. (C) 1998 Elsevier Science B.V.
机构:
Boehringer Ingelheim Pharmaceut Inc, Biostat & Data Sci, 90 E Ridge POB 368, Ridgefield, CT 06877 USABoehringer Ingelheim Pharmaceut Inc, Biostat & Data Sci, 90 E Ridge POB 368, Ridgefield, CT 06877 USA
Chang, Yu-Wei
Tsong, Yi
论文数: 0引用数: 0
h-index: 0
机构:
US FDA, Ctr Drug Evaluat & Res, Silver Spring, MD USABoehringer Ingelheim Pharmaceut Inc, Biostat & Data Sci, 90 E Ridge POB 368, Ridgefield, CT 06877 USA
Tsong, Yi
Zhao, Zhigen
论文数: 0引用数: 0
h-index: 0
机构:
Temple Univ, Dept Stat Sci, Philadelphia, PA 19122 USABoehringer Ingelheim Pharmaceut Inc, Biostat & Data Sci, 90 E Ridge POB 368, Ridgefield, CT 06877 USA