Journal article
The researcher and the consultant: from testing to probability statements
European journal of epidemiology, v 30(9), pp 1003-1008
Sep 2015
PMID: 26108655
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In the first instalment of this series, Stang and Poole provided an overview of Fisher significance testing (ST), Neyman-Pearson null hypothesis testing (NHT), and their unfortunate and unintended offspring, null hypothesis significance testing. In addition to elucidating the distinction between the first two and the evolution of the third, the authors alluded to alternative models of statistical inference; namely, Bayesian statistics. Bayesian inference has experienced a revival in recent decades, with many researchers advocating for its use as both a complement and an alternative to NHT and ST. This article will continue in the direction of the first instalment, providing practicing researchers with an introduction to Bayesian inference. Our work will draw on the examples and discussion of the previous dialogue.
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Details
- Title
- The researcher and the consultant: from testing to probability statements
- Creators
- Ghassan B Hamra - Drexel UniversityAndreas Stang - Boston UniversityCharles Poole - University of North Carolina at Chapel HillSarah S Long - Pediatrics
- Publication Details
- European journal of epidemiology, v 30(9), pp 1003-1008
- Publisher
- Springer Nature
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pediatrics
- Web of Science ID
- WOS:000361836900001
- Scopus ID
- 2-s2.0-84942549276
- Other Identifier
- 991019353718704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health