Statistical Methods in Medical Research

Aims & Scope

Statistical Methods in Medical Research is a highly ranked, peer reviewed scholarly journal and is the leading vehicle for review and non-review articles in all the main areas of medical statistics.

It is therefore an essential reference for all medical statisticians.

It is particularly useful for medical researchers dealing with data and it provides a key resource for medical and statistical libraries, as well as pharmaceutical companies.

This unique journal is devoted solely to statistics and medicine and aims to keep professionals abreast of the many powerful statistical techniques now available to the medical profession.

As techniques are constantly adopted by statisticians working both inside and outside the medical environment, this review journal aims to satisfy the increasing demand for accurate and up-to-the-minute information.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.9
2024	1.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.972

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	109

Journal Rank

Year	Value
2024	5061

Journal Citation Indicator

Year	Value
2024	1033

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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 Health Professions, 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.

• Measuring agreement in method comparison studies

  Citation: 5496

  Authors: J Martin, Douglas G

• Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range

  Citation: 2810

  Authors: Dehui, Xiang, Jiming, Tiejun

• Multiple imputation: a primer

  Citation: 2244

  Authors: Joseph L

• Multiple imputation of discrete and continuous data by fully conditional specification

  Citation: 2240

  Authors: Stef

• Measuring agreement in method comparison studies

  Citation: 1895

  Authors: J.M., D.G.

• A review of instrumental variable estimators for Mendelian randomization

  Citation: 1409

  Authors: Stephen, Dylan S, Simon G

• Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable

  Citation: 1346

  Authors: Amy L, Steven A, Cindy L, Michael J

• Review of inverse probability weighting for dealing with missing data

  Citation: 1251

  Authors: Shaun R, Ian R

• Using multiple genetic variants as instrumental variables for modifiable risk factors

  Citation: 1061

  Authors: Tom M, Debbie A, Roger M, Nuala A, Jon H, Nicholas J, George Davey, Jonathan AC

• Controlling the familywise error rate in functional neuroimaging: a comparative review

  Citation: 985

  Authors: Thomas, Satoru

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