Estimation of rate ratio and relative difference in matched-pairs under inverse sampling
β Scribed by Kung-Jong Lui
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 86 KB
- Volume
- 12
- Category
- Article
- ISSN
- 1180-4009
- DOI
- 10.1002/env.479
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β¦ Synopsis
Abstract
To increase the efficiency of a study and to eliminate the effects of some nuisance confounders, we may consider employing a matchedβpair design. Under the commonly assumed quadrinomial sampling, in which the total number of matchedβpairs is fixed, we note that the maximum likelihood estimator (MLE) of rate ratio (RR) has an infinitely large bias and no finite variance, and so does the MLE of relative difference (RD). To avoid this theoretical concern, this paper suggests use of an inverse sampling and notes that the MLEs of these parameters, which are actually of the same forms as those under the quadrinomial sampling, are also the uniformly minimum variance estimators (UMVUEs) under the proposed samplings. This paper further derives the exact variances of these MLEs and the corresponding UMVUEs of these variances. Finally, this paper includes a discussion on interval estimation of the RR and RD using these results as well. Copyright Β© 2001 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
For controlled comparative trials with matched pairs, in an attempt to improve the asymptotic interval estimator of the relative difference proposed elsewhere, I develop two asymptotic closed-form interval estimators with use of the logarithmic transformation and an idea used for deriving Fieller's
On the basis of the conditional distribution, given the marginal totals of non-cases 6xed for each of independent 2 x 2 tables under invase sampling, this paper develops the conditional maximum likelihood (CMLE) estimator of the underlying common relative dBerence (RD) and its asymptotic conditional