title: Exact likelihood ratio and score confidence intervals for the binomial proportion.
abstract: Many methods are available for computing a confidence interval for the binomial parameter, and these methods differ in their operating characteristics. It has been suggested in the literature that the use of the exact likelihood ratio (LR) confidence interval for the binomial proportion should be considered. This paper provides an evaluation of the operating characteristics of the two-sided exact LR and exact score confidence intervals for the binomial proportion and compares these results to those for three other methods that also strictly maintain nominal coverage: Clopper-Pearson, Blaker, and Casella. In addition, the operating characteristics of the two-sided exact LR method and exact score method are compared with those of the corresponding asymptotic methods to investigate the adequacy of the asymptotic approximation.
authors.affiliation: GlaxoSmithKline, Clinical Statistics, Research Triangle Park, NC 27709, USA. matt.c.somerville@gsk.com
authors.forename: Matthew C
authors.initials: MC
authors.lastname: Somerville
authors.forename: Rebekkah S
authors.initials: RS
authors.lastname: Brown
mesh_terms: D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D016013:Likelihood Functions; D015233:Models, Statistical; D012107:Research Design