Common methodological issues and suggested solutions in bone research.

Nguyen, TV

Common methodological issues and suggested solutions in bone research.

Nguyen, TV

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Osteoporosis and sarcopenia, 2020, 6, (4), pp. 161-167
Issue Date:: 2020-12

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Field	Value	Language
dc.contributor.author	Nguyen, TV
dc.date.accessioned	2021-01-18T01:48:20Z
dc.date.available	2020-11-19
dc.date.available	2021-01-18T01:48:20Z
dc.date.issued	2020-12
dc.identifier.citation	Osteoporosis and sarcopenia, 2020, 6, (4), pp. 161-167
dc.identifier.issn	2405-5255
dc.identifier.issn	2405-5263
dc.identifier.uri	http://hdl.handle.net/10453/145462
dc.description.abstract	Bone research is a dynamic area of scientific investigation that usually encompasses multidisciplines. Virtually all basic cellular research, clinical research and epidemiologic research rely on statistical concepts and methodology for inference. This paper discusses common issues and suggested solutions concerning the application of statistical thinking in bone research, particularly in clinical and epidemiological investigations. The issues are sample size estimation, biases and confounders, analysis of longitudinal data, categorization of continuous data, selection of significant variables, over-fitting, P-values, false positive finding, confidence interval, and Bayesian inference. It is hoped that by adopting the suggested measures the scientific quality of bone research can improve.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier BV
dc.relation	http://purl.org/au-research/grants/nhmrc/GNT1195305
dc.relation.ispartof	Osteoporosis and sarcopenia
dc.relation.isbasedon	10.1016/j.afos.2020.11.008
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	Elsevier required licence: © 2020 . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The definitive publisher version is available online at https://doi.org/10.1016/j.afos.2020.11.008	en_US
dc.title	Common methodological issues and suggested solutions in bone research.
dc.type	Journal Article
utslib.citation.volume	6
utslib.location.activity	Netherlands
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2021-01-18T01:47:56Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	6
utslib.citation.issue	4

Abstract:

Bone research is a dynamic area of scientific investigation that usually encompasses multidisciplines. Virtually all basic cellular research, clinical research and epidemiologic research rely on statistical concepts and methodology for inference. This paper discusses common issues and suggested solutions concerning the application of statistical thinking in bone research, particularly in clinical and epidemiological investigations. The issues are sample size estimation, biases and confounders, analysis of longitudinal data, categorization of continuous data, selection of significant variables, over-fitting, P-values, false positive finding, confidence interval, and Bayesian inference. It is hoped that by adopting the suggested measures the scientific quality of bone research can improve.

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http://hdl.handle.net/10453/145462