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Exact interval estimation for the linear combination of binomial proportions.
Lu, Shuiyun; Wang, Weizhen; Xie, Tianfa.
Afiliação
  • Lu S; School of Mathematics, Statistics and Mechanics, Beijing University of Technology, Beijing, P.R. China.
  • Wang W; School of Mathematics, Statistics and Mechanics, Beijing University of Technology, Beijing, P.R. China.
  • Xie T; Department of Mathematics and Statistics, Wright State University, Dayton, OH, USA.
Stat Methods Med Res ; 33(3): 465-479, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38348637
ABSTRACT
The weighted sum of binomial proportions and the interaction effect are two important cases of the linear combination of binomial proportions. Existing confidence intervals for these two parameters are approximate. We apply the h-function method to a given approximate interval and obtain an exact interval. The process is repeated multiple times until the final-improved interval (exact) cannot be shortened. In particular, for the weighted sum of two proportions, we derive two final-improved intervals based on the (approximate) adjusted score and fiducial intervals. After comparing several currently used intervals, we recommend these two final-improved intervals for practice. For the weighted sum of three proportions and the interaction effect, the final-improved interval based on the adjusted score interval should be used. Three real datasets are used to detail how the approximate intervals are improved.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Idioma: En Revista: Stat Methods Med Res Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Idioma: En Revista: Stat Methods Med Res Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido