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Olivier Thas

Researcher at Ghent University

Publications -  221
Citations -  5388

Olivier Thas is an academic researcher from Ghent University. The author has contributed to research in topics: Goodness of fit & Nonparametric statistics. The author has an hindex of 35, co-authored 215 publications receiving 4640 citations. Previous affiliations of Olivier Thas include University of Wollongong & University of Hasselt.

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Butyrate-producing Clostridium cluster XIVa species specifically colonize mucins in an in vitro gut model.

TL;DR: Simulating the mucosal gut microbiota represents a breakthrough in modeling and mechanistically studying the human intestinal microbiome in health and disease and may enhance butyrate bioavailability, which could be useful in treating diseases, such as inflammatory bowel disease.
Book

Smooth Tests of Goodness of Fit

TL;DR: The use of orthonormal functions, tests for composite hypotheses, and tests of categorised data for goodness of fit has been extensively studied in the literature as discussed by the authors, including the use of X2 tests and their components.
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Multiple putative oncogenes at the chromosome 20q amplicon contribute to colorectal adenoma to carcinoma progression

TL;DR: C20orf24, AURKA, RNPC1, TH1L, ADRM1, C20orf20 and TCFL5 genes are revealed to be important in chromosomal instability-related adenoma to carcinoma progression and may serve as highly specific biomarkers for colorectal cancer with potential clinical applications.
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MicroRNA Expression in Induced Sputum of Smokers and Patients with Chronic Obstructive Pulmonary Disease

TL;DR: Let-7c is significantly reduced in the sputum of currently smoking patients with COPD and is associated with increased expression of TNFR-II, implicated in COPD pathogenesis and a predicted target gene of let-7C.
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Spectral Entropy as an Electroencephalographic Measure of Anesthetic Drug Effect: A Comparison with Bispectral Index and Processed Midlatency Auditory Evoked Response

TL;DR: Compared with BIS and AAI, both SE and RE seem to be useful electroencephalographic measures of anesthetic drug effect, with low baseline variability and accurate burst suppression prediction.