Statistical analyses and quality of individual participant data network meta-analyses were suboptimal: a cross-sectional study
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1741-7015
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Statistical analyses and quality of individual participant data network meta-analyses were suboptimal: a cross-sectional study ; volume:18 ; number:1 ; day:1 ; month:6 ; year:2020 ; pages:1-12 ; date:12.2020
BMC medicine ; 18, Heft 1 (1.6.2020), 1-12, 12.2020
- Urheber
-
Gao, Ya
Shi, Shuzhen
Li, Muyang
Luo, Xinyue
Liu, Ming
Yang, Kelu
Zhang, Junhua
Song, Fujian
Tian, Jinhui
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12916-020-01591-0
- URN
-
urn:nbn:de:101:1-2020072921122348907645
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 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
- Gao, Ya
- Shi, Shuzhen
- Li, Muyang
- Luo, Xinyue
- Liu, Ming
- Yang, Kelu
- Zhang, Junhua
- Song, Fujian
- Tian, Jinhui
- SpringerLink (Online service)
Ähnliche Objekte (12)
Individual participant data meta-analyses compared with meta-analyses based on aggregate data
Numerische Untersuchungen zu rotationssymmetrischen Strömungen im konzentrischen Kugelspalt
“Climate change” vs. “global warming”: A corpus-assisted discourse analysis of two popular terms in The New York Times
Optimizing coal water slurry concentration via synergistic coal blending and particle size distribution
Integrative bioinformatics analysis of KPNA2 in six major human cancers
Conduct and reporting of individual participant data network meta-analyses need improvement
Meta-analyses of diagnostic studies
Handedness in twins : meta-analyses
Dynamic optimization model for allocating medical resources in epidemic controlling
Survival differences by ethnicity among patients diagnosed with bladder cancer
Mobile robots exploration through cnn-based reinforcement learning
Adjoint-based shape optimization for compressible flow based on volume penalization method
Individual participant data meta-analyses compared with meta-analyses based on aggregate data
Numerische Untersuchungen zu rotationssymmetrischen Strömungen im konzentrischen Kugelspalt
“Climate change” vs. “global warming”: A corpus-assisted discourse analysis of two popular terms in The New York Times
Optimizing coal water slurry concentration via synergistic coal blending and particle size distribution
Integrative bioinformatics analysis of KPNA2 in six major human cancers
Conduct and reporting of individual participant data network meta-analyses need improvement
Meta-analyses of diagnostic studies
Handedness in twins : meta-analyses
Dynamic optimization model for allocating medical resources in epidemic controlling
Survival differences by ethnicity among patients diagnosed with bladder cancer
Mobile robots exploration through cnn-based reinforcement learning
Adjoint-based shape optimization for compressible flow based on volume penalization method
Individual participant data meta-analyses compared with meta-analyses based on aggregate data
Numerische Untersuchungen zu rotationssymmetrischen Strömungen im konzentrischen Kugelspalt
“Climate change” vs. “global warming”: A corpus-assisted discourse analysis of two popular terms in The New York Times
Optimizing coal water slurry concentration via synergistic coal blending and particle size distribution
Integrative bioinformatics analysis of KPNA2 in six major human cancers
Conduct and reporting of individual participant data network meta-analyses need improvement
Meta-analyses of diagnostic studies
Handedness in twins : meta-analyses
Dynamic optimization model for allocating medical resources in epidemic controlling
Survival differences by ethnicity among patients diagnosed with bladder cancer
Mobile robots exploration through cnn-based reinforcement learning