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Evidence-based statistical analysis and methods in biomedical research (SAMBR) checklists according to design
Alok Kumar Dwivedi1, Rakesh Shukla2
1Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas.
Cancer Reports (Hoboken, N.J.)
|August 15, 2020
Summary
This review introduces the Statistical Analysis and Methods in Biomedical Research (SAMBR) checklist to standardize statistical practices. SAMBR aims to improve the quality and reliability of biomedical research findings.
Area of Science:
- Biomedical Research
- Statistical Analysis
- Research Methodology
Background:
- Accurate statistical analysis is crucial for valid biomedical research findings.
- Inconsistent reporting of study designs and statistical methods is common in medical literature.
- Researchers often struggle with selecting appropriate statistical methods due to accessibility or understanding issues.
Purpose of the Study:
- To provide applied researchers with a checklist for statistical analysis and methods in biomedical research (SAMBR).
- To address the need for standardized and accessible statistical guidance in biomedical studies.
Main Methods:
- Identified key design features influencing statistical analysis choices in biomedical research.
- Compiled essential data analysis steps for common study types.
- Searched publications and resources for statistical approaches specific to study designs and objectives.
Main Results:
- Developed the SAMBR guidance document, comprising three parts.
- Part (A) and (B) assist in evaluating research design features and statistical analysis quality.
- Part (C) guides evidence-based data analysis tailored to specific study designs and objectives.
Conclusions:
- SAMBR checklists can enhance research design reporting and standardize methodological practices.
- Promotes consistent application of statistical approaches, improving overall research quality.
- An interactive web-based application for SAMBR is recommended for wider accessibility and application.
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