An experiment to assess the efficacy of a particular treatment or process often produces dichotomous responses, either favourable or unfavourable. When we administer the treatment on two occasions to the same subjects, we often use McNemar's test to investigate the hypothesis of no difference in the
Exact 95% confidence intervals for differences in binomial proportions
β Scribed by Terry Fagan
- Book ID
- 108314824
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 139 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0010-4825
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Computation of the exact confidence interval for a binomial proportion is tedious and requires iterative computer techniques. A Quickbasic program for the IBM PC computer is described that accomplishes the confidence interval calculation accurately, quickly, and with no limits placed on the confiden
## Abstract Simultaneous confidence intervals for contrasts of means in a oneβway layout with several independent samples are well established for Gaussian distributed data. Procedures addressing different hypotheses are available, such as all pairwise comparisons or comparisons to control, compari
Existing methods for setting confidence intervals for the difference between binomial proportions based on paired data perform inadequately. The asymptotic method can produce limits outside the range of validity. The 'exact' conditional method can yield an interval which is effectively only one-side
The probabilistic safety assessed to a set of N fuel rods assembled in one core of a nuclear power reactor is commonly modelled by iβ€N X i , where X 1 , . . ., X N are independent Bernoulli random variables (rv) with individual probability p i = P (X i = 1) that the ith rod shows no failure during o