This HTML5 document contains 133 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
wdthttp://www.wikidata.org/prop/direct/
wdtnhttp://www.wikidata.org/prop/direct-normalized/
schemahttp://schema.org/
rdfshttp://www.w3.org/2000/01/rdf-schema#
skoshttp://www.w3.org/2004/02/skos/core#
wikibasehttp://wikiba.se/ontology#
phttp://www.wikidata.org/prop/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n10http://dx.doi.org/10.1093/AJE/
n9http://rdf.ncbi.nlm.nih.gov/pubchem/reference/
xsdhhttp://www.w3.org/2001/XMLSchema#
wdshttp://www.wikidata.org/entity/statement/
wdhttp://www.wikidata.org/entity/

Statements

Subject Item
wd:Q47745415
rdf:type
wikibase:Item
schema:description
article científic სამეცნიერო სტატია artigo científico (publicado na 2017) научни чланак mokslinis straipsnis 2017年学术文章 2017年学术文章 artículo científico publicado en 2017 наукова стаття, опублікована в липні 2017 2017年学术文章 научни чланак article scientific 2017年学术文章 artikulong pang-agham vědecký článek vitskapeleg artikkel tieteellinen artikkeli գիտական հոդված научная статья vetenskaplig artikel 2017년 논문 scientific article ২০১৭-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ 2017年學術文章 2017年學術文章 naučni članak 2017年學術文章 บทความทางวิทยาศาสตร์ wissenschaftlicher Artikel 2017年學術文章 2017年学术文章 2017 nî lūn-bûn artigo científico (publicado na 2017) articolo scientifico vitenskapelig artikkel bilimsel makale мақолаи илмӣ مقالهٔ علمی vedecký článok tudományos cikk سائنسی مضمون teaduslik artikkel article scientifique (publié 2017) scienca artikolo artigo científico 2017年學術文章 مقالة علمية wetenschappelijk artikel 2017年學術文章 artikull shkencor artículu científicu artykuł naukowy мақолаи илмӣ videnskabelig artikel (udgivet 2017) 2017年の論文 επιστημονικό άρθρο научна статия מאמר מדעי articol științific bài báo khoa học
p:P577
wds:Q47745415-EDBAFA4A-B67C-4B67-962F-52DC26996F2E
wdt:P577
2017-07-13T00:00:00Z
p:P407
wds:Q47745415-01AA998A-FF3A-405B-B278-EC1A16481C51
wdt:P407
wd:Q1860
p:P2860
wds:Q47745415-D159AD75-E908-47B2-A151-FB59A4809DF7 wds:Q47745415-20B4F463-A63D-401F-AA64-6E3CAFF65C29 wds:Q47745415-26FE8E3E-D3B4-42D3-ADF3-D044D14AB037 wds:Q47745415-2EF68668-3C3B-404E-B5D5-4A7A7533FB82 wds:Q47745415-354EB1B8-90AD-4D25-B082-94D960997C97 wds:Q47745415-3B567696-53A1-479A-B044-6A77623E1852 wds:Q47745415-3D944309-930C-4BDC-B831-69B0D444D8C5 wds:Q47745415-4B602023-1E7F-472D-A56A-3AA3929C383A wds:Q47745415-5309CDB1-9CBD-473F-A29D-6347FCF05D65 wds:Q47745415-5F9B543D-307E-48EF-8F70-06AEA397FB49 wds:Q47745415-605FBC8F-4C3E-4C8B-B9CD-D1D815C24582 wds:Q47745415-608A3C4E-C346-4B15-9429-CFD6EB25A8C0 wds:Q47745415-64872331-161C-4420-B7CF-2C957C2080A5 wds:Q47745415-682AA935-3BB1-466E-8FC9-3B637157B2BD wds:Q47745415-8B0C20E8-EB98-4AEF-A818-E62EC3C1085B wds:Q47745415-9D0393A0-0CB4-4FB6-BD3E-A0F2B43AB897 wds:Q47745415-A03550CA-B6A7-4375-88CA-A58EE543E304 wds:Q47745415-B08AAB9E-7EFE-45E7-8F97-86080443383A wds:Q47745415-B613D2AD-2D6B-477D-811D-D07A866F1943 wds:Q47745415-BB8415BD-4DEF-495D-82E3-3C79C0F0057D wds:Q47745415-C4D23E25-1C49-4138-A023-91FD0E0B231E
wdt:P2860
wd:Q41800074 wd:Q34414187 wd:Q26778425 wd:Q33554123 wd:Q35933863 wd:Q70053570 wd:Q52137534 wd:Q33336023 wd:Q34778336 wd:Q36380007 wd:Q36342944 wd:Q51729552 wd:Q46117539 wd:Q28749221 wd:Q24811200 wd:Q30993245 wd:Q30833442 wd:Q41421078 wd:Q58322351 wd:Q46457686 wd:Q51932833
p:P2093
wds:Q47745415-AA17D092-C0D6-4997-882D-BCF2C0C1E1E2 wds:Q47745415-22B09309-5C42-44BD-8466-F9D1A9D87DEF
wdt:P2093
Kara E Rudolph Elizabeth A Stuart
rdfs:label
Using sensitivity analyses for unobserved confounding to address covariate measurement error in propensity score methods. Using sensitivity analyses for unobserved confounding to address covariate measurement error in propensity score methods.
skos:prefLabel
Using sensitivity analyses for unobserved confounding to address covariate measurement error in propensity score methods. Using sensitivity analyses for unobserved confounding to address covariate measurement error in propensity score methods.
schema:name
Using sensitivity analyses for unobserved confounding to address covariate measurement error in propensity score methods. Using sensitivity analyses for unobserved confounding to address covariate measurement error in propensity score methods.
p:P1476
wds:Q47745415-83C6C252-A79A-4A55-BB30-3168F0518237
wdt:P1476
Using sensitivity analyses for unobserved confounding to address covariate measurement error in propensity score methods.
p:P31
wds:Q47745415-9B8A9B0F-2D8E-401E-AB6A-F0EE630119F2
wdt:P31
wd:Q13442814
p:P921
wds:Q47745415-5B643E11-7A47-4A2C-AEA2-DBF0F9695642
wdt:P921
wd:Q5178903
p:P698
wds:Q47745415-BB7627D7-1004-4D47-8986-D162C3F2E378
wdtn:P698
n9:28992211
wdt:P698
28992211
p:P1433
wds:Q47745415-71AEA486-08A1-4915-8CC4-B04CBCDF78E3
wdt:P1433
wd:Q4744243
p:P356
wds:Q47745415-E856F8D2-A74B-4D2A-8ED8-70AF5F229108
wdtn:P356
n10:KWX248
wdt:P356
10.1093/AJE/KWX248
p:P932
wds:Q47745415-65CA054D-2DB1-4491-BA54-456DF30A2882
wdt:P932
5860046