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Graphics and statistics for cardiology: survival analysis.
Susanne May1, Barbara McKnight1
1Department of Biostatistics, University of Washington, Seattle, Washington, USA.
Medical study reports often lack data for assessing validity and generalizability. This study offers recommendations for survival data reporting and advocates for data and software sharing to enhance research reproducibility.
Area of Science:
- Biostatistics
- Medical Informatics
- Clinical Epidemiology
Background:
- Medical literature reporting frequently omits crucial data for evaluating study validity and generalizability.
- Existing reporting guidelines over the past two decades have not adequately addressed survival data specifics.
- There is a need for standardized reporting practices for survival data to improve scientific rigor.
Purpose of the Study:
- To provide specific recommendations for the tabular and graphical representation of survival data.
- To advocate for the release of data and analytical software to foster reproducible research.
- To enhance the transparency and replicability of clinical studies utilizing survival analysis.
Main Methods:
- Review of existing reporting standards and guidelines in medical literature.
- Development of recommendations for presenting survival data in tables.
- Formulation of guidelines for graphical displays of survival data.
- Argument for the open sharing of datasets and statistical software.
Main Results:
- Specific recommendations for tabular formats of survival data are proposed.
- Guidelines for creating informative graphical representations of survival data are outlined.
- The importance of data and software availability for ensuring reproducible survival analyses is emphasized.
Conclusions:
- Implementing these recommendations can improve the quality and interpretability of survival data reporting.
- Making data and analytic software accessible is crucial for advancing reproducible medical research.
- Standardized reporting of survival data will enhance the reliability and generalizability of findings in clinical studies.
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