Four interval estimation methods for the ratio of marginal binomial proportions are compared in terms of expected interval width and exact coverage probability. Two new methods are proposed that are based on combining two Wilson score intervals. The new methods are easy to compute and perform as well or better than the method recently proposed by Nam and Blackwelder. Two sample size formulas are proposed to approximate the sample size required to achieve an interval estimate with desired confidence level and width. Copyright (c) 2005 John Wiley & Sons, Ltd.
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Natl Publ Hlth Inst, Dept Epidemiol, Div Theoret Epidemiol, Minato Ku, Tokyo 108, JapanNatl Publ Hlth Inst, Dept Epidemiol, Div Theoret Epidemiol, Minato Ku, Tokyo 108, Japan
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Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R ChinaHong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China
Tang, Man-Lai
Ling, Man-Ho
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Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R ChinaHong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China
Ling, Man-Ho
Ling, Leevan
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Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R ChinaHong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China
Ling, Leevan
Tian, Guoliang
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Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China