Statistics in Medicine

Aims & Scope

The journal aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods.

Papers will explain new methods and demonstrate their application, preferably through a substantive, real, motivating example or a comprehensive evaluation based on an illustrative example.

Alternatively, papers will report on case-studies where creative use or technical generalizations of established methodology is directed towards a substantive application.

Reviews of, and tutorials on, general topics relevant to the application of statistics to medicine will also be published.

The main criteria for publication are appropriateness of the statistical methods to a particular medical problem and clarity of exposition.

Papers with primarily mathematical content will be excluded.

The journal aims to enhance communication between statisticians, clinicians and medical researchers.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.8
2024	1.80

SJR (SCImago Journal Rank)

Year	Value
2024	1.268

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	229

Journal Rank

Year	Value
2024	3222

Journal Citation Indicator

Year	Value
2024	2545

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Quantifying heterogeneity in a meta‐analysis

  Citation: 29830

  Authors: Julian P. T., Simon G.

• MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS

  Citation: 7705

  Authors: FRANK E., KERRY L., DANIEL B.

• Multiple imputation using chained equations: Issues and guidance for practice

  Citation: 7245

  Authors: Ian R., Patrick, Angela M.

• Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond

  Citation: 5170

  Authors: Michael J., Ralph B., Ralph B., Ramachandran S.

• Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples

  Citation: 5085

  Authors: Peter C.

• Permutation tests for joinpoint regression with applications to cancer rates

  Citation: 4510

  Authors: Hyune-Ju, Michael P., Eric J., Douglas N.

• Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group

  Citation: 4340

  Authors: Ralph B.

• Two-sided confidence intervals for the single proportion: comparison of seven methods

  Citation: 4057

  Authors: Robert G.

• Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints

  Citation: 3958

  Authors: Mahesh K. B., Valter, Lesley

• Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology

  Citation: 3766

  Authors: Debbie A., Roger M., Jonathan A. C., Nic, George

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