Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics
A systematic approach to statistical analysis is essential for accurate data interpretation and informed decision-making in the rapidly evolving field of radiology. This review provides a comprehensive overview of the fundamental statistical concepts for radiologists and clinicians. The first part o...
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| Format: | Article |
| Language: | English |
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Thieme Medical and Scientific Publishers Pvt. Ltd.
2025-01-01
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| Series: | Indian Journal of Radiology and Imaging |
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| Online Access: | http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1796644 |
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| author | Adarsh Anil Kumar Jineesh Valakkada Anoop Ayyappan Santhosh Kannath |
| author_facet | Adarsh Anil Kumar Jineesh Valakkada Anoop Ayyappan Santhosh Kannath |
| author_sort | Adarsh Anil Kumar |
| collection | DOAJ |
| description | A systematic approach to statistical analysis is essential for accurate data interpretation and informed decision-making in the rapidly evolving field of radiology. This review provides a comprehensive overview of the fundamental statistical concepts for radiologists and clinicians. The first part of this series introduces foundational elements such as data types, distributions, descriptive and inferential statistics, hypothesis testing, and sampling methods. These are crucial for understanding the underlying structure of research data. The second part of this series delves deeper into advanced topics, including correlation and causality, regression analysis, survival curves, and the analysis of diagnostic tests using contingency tables and receiver operator characteristic (ROC) curves. These tools are vital for evaluating the efficacy of imaging techniques and drawing valid conclusions from clinical studies. As radiology continues to push the boundaries of technology and therapeutic interventions, mastering these statistical principles will empower radiologists to critically assess literature, conduct rigorous research, and contribute to evidence-based practices. Despite the pivotal role of statistics in radiology, formal training in these methodologies is still limited to a certain extent. This primer aims to bridge that gap, providing radiologists with the necessary tools to enhance diagnostic accuracy, optimize patient outcomes, and advance the field through robust research. |
| format | Article |
| id | doaj-art-cf7542061d5b4236970e73cf9c7db964 |
| institution | Kabale University |
| issn | 0971-3026 1998-3808 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Thieme Medical and Scientific Publishers Pvt. Ltd. |
| record_format | Article |
| series | Indian Journal of Radiology and Imaging |
| spelling | doaj-art-cf7542061d5b4236970e73cf9c7db9642025-01-09T23:45:09ZengThieme Medical and Scientific Publishers Pvt. Ltd.Indian Journal of Radiology and Imaging0971-30261998-38082025-01-0135S 01S58S7310.1055/s-0044-1796644Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential StatisticsAdarsh Anil Kumar0Jineesh Valakkada1https://orcid.org/0000-0003-3382-6063Anoop Ayyappan2https://orcid.org/0000-0001-5552-810XSanthosh Kannath3Department of Imaging Sciences and Interventional Radiology, Sree Chitra Institute of Medical Sciences, Trivandrum, Kerala, IndiaDepartment of Imaging Sciences and Interventional Radiology, Sree Chitra Institute of Medical Sciences, Trivandrum, Kerala, IndiaDepartment of Imaging Sciences and Interventional Radiology, Sree Chitra Institute of Medical Sciences, Trivandrum, Kerala, IndiaDepartment of Imaging Sciences and Interventional Radiology, Sree Chitra Institute of Medical Sciences, Trivandrum, Kerala, IndiaA systematic approach to statistical analysis is essential for accurate data interpretation and informed decision-making in the rapidly evolving field of radiology. This review provides a comprehensive overview of the fundamental statistical concepts for radiologists and clinicians. The first part of this series introduces foundational elements such as data types, distributions, descriptive and inferential statistics, hypothesis testing, and sampling methods. These are crucial for understanding the underlying structure of research data. The second part of this series delves deeper into advanced topics, including correlation and causality, regression analysis, survival curves, and the analysis of diagnostic tests using contingency tables and receiver operator characteristic (ROC) curves. These tools are vital for evaluating the efficacy of imaging techniques and drawing valid conclusions from clinical studies. As radiology continues to push the boundaries of technology and therapeutic interventions, mastering these statistical principles will empower radiologists to critically assess literature, conduct rigorous research, and contribute to evidence-based practices. Despite the pivotal role of statistics in radiology, formal training in these methodologies is still limited to a certain extent. This primer aims to bridge that gap, providing radiologists with the necessary tools to enhance diagnostic accuracy, optimize patient outcomes, and advance the field through robust research.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1796644central tendencyhypothesis testingparametricstatistics |
| spellingShingle | Adarsh Anil Kumar Jineesh Valakkada Anoop Ayyappan Santhosh Kannath Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics Indian Journal of Radiology and Imaging central tendency hypothesis testing parametric statistics |
| title | Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics |
| title_full | Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics |
| title_fullStr | Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics |
| title_full_unstemmed | Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics |
| title_short | Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics |
| title_sort | basic statistics for radiologists part 1 basic data interpretation and inferential statistics |
| topic | central tendency hypothesis testing parametric statistics |
| url | http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1796644 |
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