COVID-19 data are messy: analytic methods for rigorous impact analyses with imperfect data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1744-8603
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
COVID-19 data are messy: analytic methods for rigorous impact analyses with imperfect data ; volume:18 ; number:1 ; day:6 ; month:1 ; year:2022 ; pages:1-8 ; date:12.2022
Globalization and health ; 18, Heft 1 (6.1.2022), 1-8, 12.2022
- Klassifikation
-
Wirtschaft
- Urheber
-
Stoto, Michael A.
Woolverton, Abbey
Kraemer, John
Barlow, Pepita
Clarke, Michael
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12992-021-00795-0
- URN
-
urn:nbn:de:101:1-2022042404413007590546
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:28 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Stoto, Michael A.
- Woolverton, Abbey
- Kraemer, John
- Barlow, Pepita
- Clarke, Michael
- SpringerLink (Online service)
Ähnliche Objekte (12)
Correlating messy data with "correlate"
Messy data – clean software – brilliant results?
Messy data – clean software – brilliant results?
Building Knowledge Graphs from Messy Enterprise Data
Data analytic literacy
Big? Smart? Clean? Messy? Data in the Humanities?
Does imperfect data privacy stop people from collecting personal data?
Does Imperfect Data Privacy Stop People from Collecting Personal Data?
Information Acquisition under (Im)perfect Data Privacy
Seismic data assimilation with an imperfect model
The MESSy DWARF (based on MESSy v2.55.2)
Messy Girls!
Correlating messy data with "correlate"
Messy data – clean software – brilliant results?
Messy data – clean software – brilliant results?
Building Knowledge Graphs from Messy Enterprise Data
Data analytic literacy
Big? Smart? Clean? Messy? Data in the Humanities?
Does imperfect data privacy stop people from collecting personal data?
Does Imperfect Data Privacy Stop People from Collecting Personal Data?
Information Acquisition under (Im)perfect Data Privacy
Seismic data assimilation with an imperfect model
The MESSy DWARF (based on MESSy v2.55.2)
Messy Girls!
Correlating messy data with "correlate"
Messy data – clean software – brilliant results?
Messy data – clean software – brilliant results?
Building Knowledge Graphs from Messy Enterprise Data
Data analytic literacy
Big? Smart? Clean? Messy? Data in the Humanities?
Does imperfect data privacy stop people from collecting personal data?
Does Imperfect Data Privacy Stop People from Collecting Personal Data?
Information Acquisition under (Im)perfect Data Privacy
Seismic data assimilation with an imperfect model
The MESSy DWARF (based on MESSy v2.55.2)