Evidence‐based statistical analysis and methods in biomedical research (SAMBR) checklists according to design features Article Swipe
Alok Dwivedi
,
Rakesh Shukla
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1002/cnr2.1211
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1002/cnr2.1211
Background Statistical analysis according to design features and objectives is essential to ensure the validity and reliability of the study findings and conclusions in biomedical research. Heterogeneity in reporting study design elements and conducting statistical analyses is often observed for the same study design and study objective in medical literatures. Sometimes, researchers face a lot of predicaments using appropriate statistical approaches highlighted by methodologists for a specific study design either due to lack of accessibility or understanding of statistical methods or unavailability of checklists related to design and analysis in a concise format. The purpose of this review is to provide the checklist of statistical analysis and methods in biomedical research (SAMBR) to applied researchers. Recent findings We initially identified the important steps of reporting design features that may influence the choice of statistical analysis in biomedical research and essential steps of data analysis of common studies. We subsequently searched for statistical approaches employed for each study design/study objective available in publications and other resources. Compilation of these steps produced SAMBR guidance document, which includes three parts. Applied researchers can use part (A) and part (B) of SAMBR to describe or evaluate research design features and quality of statistical analysis, respectively, in reviewing studies or designing protocols. Part (C) of SAMBR can be used to perform essential and preferred evidence‐based data analysis specific to study design and objective. Conclusions We believe that the statistical methods checklists may improve reporting of research design, standardize methodological practices, and promote consistent application of statistical approaches, thus improving the quality of research studies. The checklists do not enforce the use of suggested statistical methods but rather highlight and encourage to conduct the best statistical practices. There is a need to develop an interactive web‐based application of the checklists for users for its wide applications.
Related Topics
Concepts
Checklist
Computer science
Research design
Unavailability
Statistical analysis
Reliability (semiconductor)
Management science
Quality (philosophy)
Clinical study design
Data science
Medicine
Reliability engineering
Statistics
Engineering
Psychology
Clinical trial
Mathematics
Quantum mechanics
Epistemology
Philosophy
Cognitive psychology
Physics
Power (physics)
Pathology
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1002/cnr2.1211
- OA Status
- green
- Cited By
- 52
- References
- 92
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2969353675Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/cnr2.1211Digital Object Identifier
- Title
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Evidence‐based statistical analysis and methods in biomedical research (SAMBR) checklists according to design featuresWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-08-22Full publication date if available
- Authors
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Alok Dwivedi, Rakesh ShuklaList of authors in order
- Landing page
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https://doi.org/10.1002/cnr2.1211Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/7941456Direct OA link when available
- Concepts
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Checklist, Computer science, Research design, Unavailability, Statistical analysis, Reliability (semiconductor), Management science, Quality (philosophy), Clinical study design, Data science, Medicine, Reliability engineering, Statistics, Engineering, Psychology, Clinical trial, Mathematics, Quantum mechanics, Epistemology, Philosophy, Cognitive psychology, Physics, Power (physics), PathologyTop concepts (fields/topics) attached by OpenAlex
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52Total citation count in OpenAlex
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2025: 14, 2024: 14, 2023: 8, 2022: 9, 2021: 5Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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