The calculation of exact confidence limits for the expectation value of a Poisson distribution when a single observation of K events is given by means of a second order iterative algorithm was recently presented. Here it is shown that the structure of the equations to be solved admits the use of a t
An efficient procedure for computing exact confidence limits for a standardized mortality ratio
โ Scribed by Harland Austin
- Publisher
- Elsevier Science
- Year
- 1983
- Tongue
- English
- Weight
- 214 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0010-4809
No coin nor oath required. For personal study only.
โฆ Synopsis
An efficient computing procedure is described for obtaining exact confidence limits for the mean of a Poisson distribution. It is shown how this procedure can be used to obtain the exact confidence limits for a standardized mortality ratio, a parameter of great interest to epidemiologists. An example is presented illustrating the technique.
๐ SIMILAR VOLUMES
A computer program is described which tests the equality among standardized mortality ratios. Prior to the analysis of heterogeneity, the requirement of a multiplicative model is tested. The capability exists to combine given populations into subgroups before applying the test. Plots of age-specific
I propose an exact confidence interval for the ratio of two proportions when the proportions are not independent. One application is to estimate the population prevalence using a screening test with perfect specificity but imperfect sensitivity. The population prevalence is the ratio of the observed
Comparisons between series of cancer cases are dificuit in the absence ofpopulation data; to facilitate such comparisons the use of an age-standardized cancer ratio ( A S C A R ) is proposed. When gross differences appear between crude ratios, the use of the agecorrected ratio enables a distinction