Medical statistics is the application of statistical methods to medicine and health research, used to design studies, analyze data, and draw valid conclusions about disease occurrence, risk factors, treatment effects, and health outcomes. It underpins evidence-based practice by quantifying uncertainty, comparing gro…
Medical statistics is the application of statistical methods to medicine and health research, used to design studies, analyze data, and draw valid conclusions about disease occurrence, risk factors, treatment effects, and health outcomes. It underpins evidence-based practice by quantifying uncertainty, comparing groups, measuring trends in incidence and prevalence, and evaluating the performance of preventive and therapeutic interventions. Within Preventive Medicine And Care, medical statistics is essential for monitoring populations, identifying emerging health threats, and assessing whether prevention strategies reduce the burden of disease. Research relevant to medical statistics published in the journal includes regional epidemiological analyses, such as statistical studies of changes in the incidence of malignant neoplasms of the central nervous system and of malignant brain tumors over multi-year periods within a defined region, demonstrating how surveillance data are compiled and interpreted to track disease patterns over time. Work of this kind shows how statistical analysis of incidence data supports planning and prevention. This page gathers peer-reviewed, open-access research relevant to medical statistics and preventive medicine, offering an evidence-based resource for readers interested in how quantitative methods are used to measure and improve population health.
3 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 3 articles above have been cited 1 time in the scholarly literature. Citation data via OpenAlex and Crossref, updated Oct 2025.
A sample of recent works citing this journal's research on Medical Statistics, linking to each citing work.