Geocoding large population-level administrative datasets at highly resolved spatial scales
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Potential selection bias associated with using geocoded birth records for epidemiologic researchDesign, methods and demographics from phase I of Alberta's Tomorrow Project cohort: a prospective cohort profile.Geographic Information Systems to Assess External Validity in Randomized Trials.Methods and initial findings from the Durham Diabetes Coalition: Integrating geospatial health technology and community interventions to reduce death and disability.A cross-sectional ecological analysis of international and sub-national health inequalities in commercial geospatial resource availability.
P2860
Geocoding large population-level administrative datasets at highly resolved spatial scales
description
2014 nî lūn-bûn
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2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2014年の論文
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2014年学术文章
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2014年学术文章
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2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
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name
Geocoding large population-lev ...... highly resolved spatial scales
@ast
Geocoding large population-lev ...... highly resolved spatial scales
@en
Geocoding large population-lev ...... highly resolved spatial scales
@nl
type
label
Geocoding large population-lev ...... highly resolved spatial scales
@ast
Geocoding large population-lev ...... highly resolved spatial scales
@en
Geocoding large population-lev ...... highly resolved spatial scales
@nl
prefLabel
Geocoding large population-lev ...... highly resolved spatial scales
@ast
Geocoding large population-lev ...... highly resolved spatial scales
@en
Geocoding large population-lev ...... highly resolved spatial scales
@nl
P2093
P2860
P356
P1433
P1476
Geocoding large population-lev ...... highly resolved spatial scales
@en
P2093
Benjamin Strauss
Marie Lynn Miranda
Sharon E Edwards
P2860
P304
P356
10.1111/TGIS.12052
P577
2014-08-01T00:00:00Z