Back to Search
Start Over
Estimating Confidence Intervals and Sampling Proportions in Two-Stage Prevalence Designs.
- Source :
- Journal of Gambling Studies; Sep1999, Vol. 15 Issue 3, p243-245, 3p
- Publication Year :
- 1999
-
Abstract
- In response to Abbott and Volberg's (in press) rejoinder to my epidemiologic note on verification bias and estimation of prevalence rates (Gambino, in press), I provide the formulas for computing confidence intervals for the results of second-stage verification. In addition, I provide the appropriate equation for determining confidence intervals when prevalence is near zero or one. Finally, we present formulas for determining the most efficient sample sizes needed to minimize second-stage variance estimates. These allow the investigator working under a fixed budget to determine the relative value of sampling negative screens to test for false negatives. We close with an observation on the interpretability of evidence. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10505350
- Volume :
- 15
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Gambling Studies
- Publication Type :
- Academic Journal
- Accession number :
- 49858104
- Full Text :
- https://doi.org/10.1023/A:1023049529680