The relative risk is an important parameter in certain epidemiological studies. It is given by the ratio of the rates of developing a certain disease between the exposed and the control group. This paper deals with the Bayesian estimation of the relative risk using: (a) uniform [0,1] priors; (b) res
Estimation of Prevalence and Relative Risk in Repetitive Surveys
β Scribed by I. M. S. Lamba; P. Singh
- Publisher
- John Wiley and Sons
- Year
- 1993
- Tongue
- English
- Weight
- 534 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
The Theory of double sampling as proposed by NEYMAN (1938) and subsequently used for successive sampling by JESSON (1942), YATES (1960), PATTERSON (1950), ECKLER (1955), KULDROFF (1963) and TIKKIWAL (1960, 1967) has been explored to develop a general estimator which can be used for estimation of parameters such as mean, ratio or double ratio. A simple case of sampling on two occasions has only been considered but the logic can easily be extended for more than two occasions. The results show that the generalised estimator will be very useful for the applied statisticians.
π SIMILAR VOLUMES
The use of diagnostic sonography allows determination of the prevalence of gallstones in a representative sample of the general population. The objective of this article is to review the reports of sonographically based studies of gallstone prevalence in the world literature. All available published
## Abstract Methods of varying complexity have been proposed to efficiently estimate haplotype relative risks in caseβcontrol data. Our goal was to compare methods that estimate associations between disease conditions and common haplotypes in large caseβcontrol studies such that haplotype imputatio
Estimation of the relative riak from a rare disease is carried out using M : R matching. Both conditional and unconditional likelihood methods are wed, leading in each case to the same eatimate; a non-iterative estimate is elways available under dl : R metching, Y s 2. The method ale0 enebles the te