Sentence examples for heterogeneous estimates from inspiring English sources

Exact(7)

From formula (6), we can directly reach a conclusion that IPO underpricing and degree of risk aversion as well as investor heterogeneous estimates of the offering value are positively correlated.

Giving preference to estimates for never smokers, if available, and overall population estimates otherwise, the estimate was 1.14 (0.67–1.93), again based on heterogeneous estimates.

The RR of 2.09 (0.83-5.25, n = 4) for adeno is based on very heterogeneous estimates, varying from 0.43 to 8.76, and allows no clear conclusion.

The effectiveness parameters used are a synthesis of heterogeneous estimates and uncertainties still remain about the assumptions made in the bottom-up costing of different scenarios.

Giving preference to study-specific estimates for the overall population, if available, and for never smokers otherwise, the random-effects estimate for ever smokeless tobacco use was 1.03 (95% confidence interval 0.71 1.49) based on heterogeneous estimates from seven studies.

In agreement with this hypothesis, Tiercy et al. [ 21] estimated a very low selective coefficient at the HLA-DRB1 locus (from 2.51 × 10-4 to 6.28 × 10-4, with an average of 4.42 ± 0.76 × 10-4), although variation in effective population size between populations may actually lead to more heterogeneous estimates.

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Similar(53)

One possible explanation is that the incidence rate of these events is quite heterogeneous, with estimates ranging from 3.4 to 45% (Jafferany 2008).

One of the key problems with REMR is handling situations involving heterogeneous parameter estimates.

The validity and reliability of the exposure opportunity index model have also been questioned on the basis of widely heterogeneous exposure estimates [ 96].

Recognizing that heterogeneous effect estimates are a signature of loci involved in interactions, Paré et al. (48) and Visscher and Posthuma (49) developed methods that model genetic associations with genotypic variance estimates rather than with phenotypic means, as is the case in conventional GWAS experiments.

(c) For a given ERP channel, do the heterogeneous nearest-estimate classifiers offer complementary information for improving performance through decision fusion?

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