Results 261 to 270 of about 26,443,777 (315)
Gene-based Hardy-Weinberg equilibrium test using genotype count data: application to six types of cancers. [PDF]
Nishino J, Miya F, Kato M.
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Differentially expressed heterogeneous overdispersion genes testing for count data. [PDF]
Yuan Y +11 more
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Establishing large mammal population trends from heterogeneous count data. [PDF]
Pradel R +8 more
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Pharmacodynamic Exposure-Response Analysis of Fracture Count Data Following Treatment with Burosumab in Patients with XLH. [PDF]
Mehta K +7 more
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PhyImpute and UniFracImpute: two imputation approaches incorporating phylogeny information for microbial count data. [PDF]
Luo Q +5 more
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Count (and count-like) data in finance
Journal of Financial Economics, 2021This paper assesses different econometric approaches to working with count-based outcome variables and other outcomes with similar distributions, which are increasingly common in corporate finance applications. We demonstrate that the common practice of estimating linear regressions of the log of 1 plus the outcome produces estimates with no natural ...
Jonathan B. Cohn +2 more
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Testing for Trend with Count Data
Biometrics, 1998Among the tests that can be used to detect dose-related trends in count data from toxicological studies are nonparametric tests such as the Jonckheere-Terpstra and likelihood-based tests, for example, based on a Poisson model. This paper was motivated by a data set of tumor counts in which conflicting conclusions were obtained using these two tests. To
Weller, Edie A., Ryan, Louise M.
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Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval, 2015
Counts of objects are important for big data analytics. However, spatial objects do not work well with counts. We present the latest developments on distinct counting problem. In particular, we explain Euler Histograms, which are a category of spatial data structures that address the distinct counting challenges.
Egemen Tanin, Hairuo Xie
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Counts of objects are important for big data analytics. However, spatial objects do not work well with counts. We present the latest developments on distinct counting problem. In particular, we explain Euler Histograms, which are a category of spatial data structures that address the distinct counting challenges.
Egemen Tanin, Hairuo Xie
openaire +2 more sources

