Analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2288
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research ; volume:20 ; number:1 ; day:22 ; month:4 ; year:2020 ; pages:1-18 ; date:12.2020
BMC medical research methodology ; 20, Heft 1 (22.4.2020), 1-18, 12.2020
- Classification
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Medizin, Gesundheit
- Creator
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Kelter, Riko
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12874-020-00968-2
- URN
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urn:nbn:de:101:1-2020070323565485139135
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:53 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kelter, Riko
- SpringerLink (Online service)
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Simulation data for the analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research
A two-sample Bayesian t-test for microarray data
bayest: an R-package for effect-size targeted Bayesian two-sample t-tests
Sample size analysis for two-sample linear rank tests
The Two-Sample Problem with Regression Errors
Two-sample testing with local community depth
Causality between COVID-19 and multiple myeloma: a two-sample Mendelian randomization study and Bayesian co-localization
Robust nonparametric tests for the two-sample location problem
Diabetes and osteoporosis: a two-sample mendelian randomization study
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
Stroke and frailty index: a two-sample Mendelian randomisation study