Publisher
Journal Description
The International Journal of Statistics in Medical Research (IJSMR) is an international, peer-reviewed scientific journal dedicated to publishing high-quality research in applied statistics and quantitative methods for medical and health-related sciences. Published by Lifescience Global under a continuous publication model with one annual volume, the journal provides a dynamic platform for statisticians, biostatisticians, epidemiologists, and health researchers to disseminate innovative methodologies and impactful applications. Under the leadership of Editor-in-Chief Kartlos Joseph Kachiashvili, IJSMR maintains rigorous editorial and ethical standards to ensure the reliability and relevance of its published content.
The journal promotes the timely exchange of scientific knowledge by publishing original research articles, methodological studies, and applied statistical analyses that contribute to advances in medicine, biology, environmental science, and public health. Indexed in major international databases and covered by Scopus from 2019 to 2025, IJSMR ensures wide visibility and global accessibility for authors and readers. Through its commitment to scholarly excellence and interdisciplinary collaboration, the journal supports evidence-based decision-making and innovation in health research.
Focus and Scope
The International Journal of Statistics in Medical Research focuses on the development and application of statistical methods that address complex challenges in medical and health sciences. Core areas include biostatistical modeling, survival analysis, clinical trial design, longitudinal and multilevel analysis, Bayesian methods, epidemiological statistics, and health informatics. The journal welcomes research that introduces new analytical techniques as well as studies that apply established methods to generate novel scientific insights.
In addition, IJSMR encourages interdisciplinary research that integrates statistics with biomedical science, environmental health, population studies, and public health policy. Topics of interest include disease surveillance, risk assessment, health outcomes research, big data analytics, machine learning in healthcare, and reproducible research practices. By fostering methodological innovation and practical relevance, the journal aims to advance statistical science and improve the quality and impact of medical research worldwide.