Sandercock, Gavin (2023) The standard error/standard deviation mix-up: potential impacts on meta-analyses in sports medicine. [Data Collection]
Sandercock, Gavin (2023) The standard error/standard deviation mix-up: potential impacts on meta-analyses in sports medicine. [Data Collection]
Sandercock, Gavin 2024. The standard error/standard deviation mix-up: potential impacts on meta-analyses in sports medicine. [Data Collection]. Colchester, University of Essex. 10.5526/ERDR-00000201
Collection description
Raw data to support a recent meta-analysis and text mining project identifying common errrors in meta-analyses in sports medicine. Excel documents include all the raw data extracted from original studies to invite and facilitate re-analysis. For transparency, the text files used in the data mining portion of the project have also been included. See https://doi.org/10.1007/s40279-023-01989-9 for published journal article.
Item Type: | Data Collection | ||||||||
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Creators: |
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Division: | Faculty of Science and Health > Sport, Rehabilitation and Exercise Sciences, School of | ||||||||
Subjects: | A General Works > AI Indexes (General) Q Science > Q Science (General) Q Science > QP Physiology R Medicine > R Medicine (General) |
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Keywords: | meta-analysis, standard error, standard deviation, statistics, effect sizes, text mining | ||||||||
Research funder: | N/A | ||||||||
Grant reference: | No funding received | ||||||||
Depositor: | Gavin Sandercock | ||||||||
Date Deposited: | 09 Feb 2024 12:29 | ||||||||
Last Modified: | 09 Feb 2024 12:29 | ||||||||
URI: | http://researchdata.essex.ac.uk/id/eprint/201 |
Collection period: |
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Country: | GB | ||||
Data collection method: | Text mining | ||||
Data type: | Text, Numeric | ||||
Metadata language: | English | ||||
Resource language: | English |
Copyright holders: |
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Available files
Data
Accessible to:: Anyone
File or bundle content: Data
Metadata Revision: 3
Mime-Type: application/octet-stream
Licence: Creative Commons: Attribution 4.0
File Size: 0B