Medical Statistics and Data Science
A section of BioMedInformatics (ISSN 2673-7426).
Section Information
The Medical Statistics and Data Science section provides a comprehensive overview of the vital role that statistics and data science play in medical research, clinical trials, and healthcare decision-making. With the exponential growth of biomedical data, the integration of advanced statistical methods and data science tools has become imperative to draw meaningful conclusions from complex datasets and improve medical practices.
This section is open to submissions on the fundamental principles of medical statistics, including study design, data collection, and analysis. The section explores a variety of statistical techniques, such as regression analysis, survival analysis, and Bayesian methods, all of which have significant applications in medical research.
Keywords
- medical statistics
- data science
- biostatistics
- statistical inference
- hypothesis testing
- regression analysis
- survival analysis
- Bayesian methods
- machine learning in healthcare
- clinical trials and data analysis
Editorial Board
Topical Advisory Panel
Special Issue
Following special issue within this section is currently open for submissions:
- Editor's Choice Series for Medical Statistics and Data Science Section (Deadline: 31 December 2024)
