Sample size estimates for estimating the true prevalence of a disease using bootstrap methods
β Scribed by Maria Lourdes Enginco Amarillo; A.L. Dans; R.A. Delino
- Book ID
- 117598322
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 97 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0895-4356
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Tail index estimation depends for its accuracy on a precise choice of the sample fraction, i.e., the number of extreme order statistics on which the estimation is based. A complete solution to the sample fraction selection is given by means of a two-step subsample bootstrap method. This method adapt
If the sample size for a t-test is calculated on the basis of a prior estimate of the variance then the power of the test at the treatment di!erence of interest is not robust to misspeci"cation of the variance. We propose a t-test for a two-treatment comparison based on Stein's two-stage test which