Bayesian Sample Size Calculations for Comparing Two Binomial Proportions
被引:0
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作者:
Zhao Zhanping
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机构:
Yunnan Univ, Dept Stat, Kunming 650091, Peoples R China
Huanghuai Univ, Dept Math, Zhumadian 463000, Peoples R ChinaYunnan Univ, Dept Stat, Kunming 650091, Peoples R China
Zhao Zhanping
[1
,2
]
Chen Rong jiang
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机构:
Henan Inst Sci & Technol, Xinxiang 453003, Peoples R ChinaYunnan Univ, Dept Stat, Kunming 650091, Peoples R China
Chen Rong jiang
[3
]
Tang Niansheng
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机构:
Yunnan Univ, Dept Stat, Kunming 650091, Peoples R ChinaYunnan Univ, Dept Stat, Kunming 650091, Peoples R China
Tang Niansheng
[1
]
机构:
[1] Yunnan Univ, Dept Stat, Kunming 650091, Peoples R China
[2] Huanghuai Univ, Dept Math, Zhumadian 463000, Peoples R China
[3] Henan Inst Sci & Technol, Xinxiang 453003, Peoples R China
来源:
RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2
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2008年
关键词:
Bayes Decision Function;
Bayes Factor;
Binomial Proportions;
Power of the Most Powerful Test;
Sample Size Determination;
D O I:
暂无
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
Sample size determination is a popular problem in medical Studies. A new approach to calculate the sample size is developed by combining Bayesian and frequentist views when a hypothesis test between two binomial proportions is conducted. The sample size is calculated according to Bayesian posterior decision function and the power of the most powerful test. Sample sizes for two cases that the two proportions are equal to a fixed or to a random Value are investigated. Two numerical examples are used to Illustrate the proposed methodologies.
机构:
Univ Roma La Sapienza, Dipartimento Stat Probabillita & Stat Appl, I-00185 Rome, ItalyUniv Roma La Sapienza, Dipartimento Stat Probabillita & Stat Appl, I-00185 Rome, Italy
Brutti, Pierpaolo
De Santis, Fulvio
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机构:
Univ Roma La Sapienza, Dipartimento Stat Probabillita & Stat Appl, I-00185 Rome, ItalyUniv Roma La Sapienza, Dipartimento Stat Probabillita & Stat Appl, I-00185 Rome, Italy
De Santis, Fulvio
Gubbiotti, Stefania
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机构:
Univ Roma La Sapienza, Dipartimento Stat Probabillita & Stat Appl, I-00185 Rome, ItalyUniv Roma La Sapienza, Dipartimento Stat Probabillita & Stat Appl, I-00185 Rome, Italy