Statistical Insights for Surgeons: A Guide to the Literature
Abstract The statistical resource study provides a comprehensive overview of key statistical concepts essential for surgeons to integrate into both research and clinical decision-making. It emphasizes the growing importance of statistical literacy in the surgical field, where evidence-based practice is becoming a cornerstone of high-quality patient care. The article outlines the significance of selecting appropriate statistical methods based on the type of data, research design, and clinical questions posed. Topics covered include basic descriptive statistics, inferential techniques such as time-to-event analysis and longitudinal data methods, as well as more advanced statistical concepts like multiplicity testing and survival analysis. By equipping surgeons with the necessary knowledge to critically assess statistical tests, this study aims to improve the quality of surgical research. Key studies are referenced to demonstrate the rising complexity of statistical methods used in the surgical literature, and practical examples highlight the application of these methods in day-to-day clinical practice. This resource serves as a valuable tool for surgeons aiming to enhance their understanding of statistical methods. It not only guides the selection of appropriate tests but also emphasizes the interpretation of results in the context of clinical significance. By improving statistical literacy, this study aids surgeons in making more informed, evidence-based decisions, ultimately leading to better patient outcomes and improved surgical practices. Particularly, this guide is useful in ensuring that surgeons can navigate the statistical demands of modern research, applying findings effectively to optimize patient care.
Authors
- Mahalakshmy Thulasingam (ORCID: https://orcid.org/0000-0001-8326-2855)
- Ruben Raj (ORCID: https://orcid.org/0009-0002-3074-9605)
Institutions
- Jawaharlal Institute of Post Graduate Medical Education and Research (IN)
Publication Details
- Journal
- Annals of Minimal Access Surgery & Allied Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4103/amas.amas_14_24
- Primary Topic
- Healthcare Policy and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00