About: Maria De Iorio

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher (ORCID 0000-0003-3109-0478)

Attributes	Values
rdf:type	Item
description	statistica (it) wetenschapper (nl) дослідниця (uk) researcher (ORCID 0000-0003-3109-0478) (en)
rdfs:label	Maria De Iorio (en) Maria De Iorio (es) Maria De Iorio (it) Maria De Iorio (nl) Maria de Iorio (ast)
skos:prefLabel	Maria De Iorio (en) Maria De Iorio (es) Maria De Iorio (it) Maria De Iorio (nl) Maria de Iorio (ast)
name	Maria De Iorio (en) Maria De Iorio (es) Maria De Iorio (it) Maria De Iorio (nl) Maria de Iorio (ast)
given name	wds:Q91730200-F98DD97A-18D4-4EF3-A199-3FFBE359218C
given name	Maria
instance of	wds:Q91730200-39CD8460-7F97-4C94-980C-9A827313C22D
instance of	Homo sapiens
award received	wds:Q91730200-6044cd09-4b0e-54b2-67ab-68568ef8e023
award received	Fellow of the International Society for Bayesian Analysis
doctoral advisor	wds:Q91730200-3196F9C7-0C28-4AD2-ADD4-948CDCC23C32
MR Author ID	wds:Q91730200-40003A6F-F626-48D0-A806-A7AD643D21D3
Mathematics Genealogy Project ID	wds:Q91730200-D154E824-9AC2-42E8-92E7-384DAB02CDB0
doctoral advisor	Michael L. Lavine
MR Author ID	721688
Mathematics Genealogy Project ID	62555
Re.Public@Polimi author ID	wds:Q91730200-455F05C2-6D16-481C-832E-79B68ECC45CD
Re.Public@Polimi author ID	87700
skos:altLabel	Maria de Iorio (en) Maria de Iorio (nl)
occupation	wds:Q91730200-61D26F0C-EC82-4F37-A1F6-1D69D054F9C2
employer	wds:Q91730200-9C0CFFBE-30B9-4CC3-9D17-FD5C3DF0F0FC
sex or gender	wds:Q91730200-D007DD25-73D1-4B48-9B1C-452E22D9D74A
ISNI	wds:Q91730200-9f3a66e9-4c14-7364-f1e9-503b563aa6ba
VIAF ID	wds:Q91730200-bb9b52a8-472a-804d-30e3-498ef0a15a13
GND ID	wds:Q91730200-abc61ee8-4a5d-a186-dded-e2a7a5c6fcfc
Library of Congress authority ID	wds:Q91730200-c02d9558-4212-4982-5c90-32e5cf006d44
DBLP author ID	wds:Q91730200-73D98AC5-3CFD-4BD0-81BE-5C02B47BA555
SBN author ID	wds:Q91730200-50F6DBAF-D573-4389-9341-2A6277780BC4
date of birth	wds:Q91730200-0b9938f1-4e5c-3a4d-a07a-84b931989942
educated at	wds:Q91730200-7A818310-B5E3-4D44-8948-C8CE237AB901
family name	wds:Q91730200-94b68d83-4233-bcdc-4205-3e70be92a208
official website	wds:Q91730200-164424A4-323F-466C-980F-47BD56C12865
VIAF ID	http://viaf.org/viaf/16889253
GND ID	https://d-nb.info/gnd/129470341
Library of Congress authority ID	http://id.loc.gov/authorities/names/no2002036282
DBLP author ID	https://dblp.org/pid/07/362.rdf
occupation	researcher
employer	University College London
sex or gender	female organism
ISNI	0000000078703110
VIAF ID	16889253
GND ID	129470341
Library of Congress authority ID	no2002036282
DBLP author ID	07/362
SBN author ID	BVEV283841
date of birth	1972-01-01 00:00:00Z (xsd:dateTime)
educated at	Duke University
family name	De Iorio
official website	http://iris.ucl.ac.uk/iris/browse/profile?upi=MDEIO91
ORCID iD	wds:Q91730200-1806324B-A860-4921-B4A0-0E5242903358
ORCID iD	https://orcid.org/0000-0003-3109-0478
ORCID iD	0000-0003-3109-0478
is owl:sameAs of	Maria De Iorio
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q91730200
is author of	Metabolome-wide association study identifies multiple biomarkers that discriminate north and south Chinese populations at differing risks of cardiovascular disease: INTERMAP study Human metabolic phenotype diversity and its association with diet and blood pressure. Metabolic profiling and the metabolome-wide association study: significance level for biomarker identification Subset Optimization by Reference Matching (STORM): An Optimized Statistical Approach for Recovery of Metabolic Biomarker Structural Information from 1H NMR Spectra of Biofluids Opening up the "Black Box": metabolic phenotyping and metabolome-wide association studies in epidemiology A comparative review of network meta-analysis models in longitudinal randomized controlled trial Dietary and urinary metabonomic factors possibly accounting for higher blood pressure of black compared with white Americans: results of International Collaborative Study on macro-/micronutrients and blood pressure A Bayesian semiparametric Markov regression model for juvenile dermatomyositis. Bayesian splines versus fractional polynomials in network meta-analysis
is author of	wds:Q35051204-B427F4C4-D0C4-4CE2-B7E1-321C77E0E0EF wds:Q91730209-9E393955-0AD9-4871-BBBD-25F04935DB10 wds:Q49806015-D0C40E4B-DCEF-483A-A88D-A04BD1FCA991 wds:Q58045557-EA0EED90-942F-45BC-B691-15B670784212 wds:Q100748850-F3F9C543-8F49-431E-AA8A-F474CE16F75B wds:Q34135639-621BEA35-FC5A-422F-994D-EAEDCD471B40 wds:Q37550792-D3071009-A6BC-4387-8747-9898B5195190 wds:Q37670437-F3A4AA72-B641-4ECE-9487-C47D63252D03 wds:Q34772005-5010971C-2F93-461D-85B4-324ACE6A999E
is doctoral student of	Michael L. Lavine
is doctoral student of	wds:Q102123524-7820018a-fe1d-462f-bf59-f2bb6e99e044

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