Academic Journal
Q1Statistical Methods in Medical Research
About Statistical Methods in Medical Research
Statistical Methods in Medical Research is a scholarly journal published by SAGE Publications Ltd. SCImago 2025 lists it in Q1, with an SJR of 0.948 and H-index of 113.
Coverage: 1992-2026. Research categories: Statistics and Probability (Q1); Epidemiology (Q2); Health Information Management (Q2).
Source-backed journal facts
Topics in published research
Statistical Methods and Bayesian Inference; Statistical Methods and Inference; Statistical Methods in Clinical Trials; Advanced Causal Inference Techniques; Health Systems, Economic Evaluations, Quality of Life; Bayesian Methods and Mixture Models.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
4,400.00 USD; 3,226.00 GBP
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
A flexible Monte Carlo quantitative bias analysis for unmeasured confounding
Emily Kawabata, Chin Yang Shapland, Tom Palmer, David Carslake et al.
2026-10-01 · DOI: 10.1177/09622802261488056A Bayesian adaptive shift-mixture approach for estimating incubation period and exposure time in small outbreaks
Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura et al.
2026-10-01 · DOI: 10.1177/09622802261490778A regularized semiparametric cure-rate model with high-dimensional imaging data
Jiahui Feng, Muye Nanshan, Haolun Shi, Kin Yau Wong et al.
2026-09-30 · DOI: 10.1177/09622802261483498Generalizing the two sources capture–recapture estimator for covariate information
Patarawan Sangnawakij, Rattana Lerdsuwansri, Parawan Pijitrattana, Peter Schlattmann et al.
2026-09-29 · DOI: 10.1177/09622802261491945A new bivariate cure rate model and its application to diabetic retinopathy
Matilda Pitt, Katherine Davies
2026-09-29 · DOI: 10.1177/09622802261489815Editorial for the special collection “response-adaptive randomization in clinical trials”
David S. Robertson, Oleksandr Sverdlov, Sofía S. Villar, Hongjian Zhu et al.
2026-09-29 · DOI: 10.1177/09622802261486806Doubly robust estimation of causal survival effects via inverse probability of treatment and censoring weighting and semi-parametric AFT models with variable selection
Chien-Lin Su
2026-09-19 · DOI: 10.1177/09622802261488051Adaptive design strategies for ethical and efficient clinical trials using simulated annealing
Rosamarie Frieri, Francesco Mariani, Marco Novelli
2026-09-14 · DOI: 10.1177/09622802261488058A general mixture loss function to optimize a personalized predictive model
Tatiana Krikella, Joel A Dubin
2026-09-14 · DOI: 10.1177/09622802261488055Sample size calculation for the sequential multiple assignment randomized trial (SMART) design with a skewed outcome: Application to the SMART+ study
Arijit Dey, Xiaoxi Yan, Bibhas Chakraborty
2026-09-12 · DOI: 10.1177/09622802261485814Built-in selection bias in proportional hazards models with omitted covariates: Simulation evidence and alternative approaches
Ayoub Bifenzi, Helene Jacqmin-Gadda
2026-09-12 · DOI: 10.1177/09622802261485825Multiple-use prediction and calibration for all future values: Exact simultaneous tolerance bands for multiple and polynomial regressions
Lingjiao Wang, Yang Han, Wei Liu, Frank Bretz et al.
2026-09-08 · DOI: 10.1177/09622802261470084A Bayesian phase I/II trial design to optimizing dose–schedule regimen with competing risk outcomes
Wenyun Yang, Bosheng Li, Fangrong Yan
2026-09-08 · DOI: 10.1177/09622802261483484Sample size determination for a prospective bridging study to harmonize retrospective data from multiple studies—Application to a biofluid biomarker study of Alzheimer’s disease
Chengjie Xiong, Yuzheng Nie, Jingqin Luo, Ruijin Lu et al.
2026-09-08 · DOI: 10.1177/09622802261468023Corrigendum to “Design and analysis of factorial clinical trials: The impact of one treatment's effectiveness on the statistical power and required sample size of the other”
2026-09-03 · DOI: 10.1177/09622802261471223Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy
Zhi Cao, Pavel Mozgunov, Haiyan Zheng
2026-09-02 · DOI: 10.1177/09622802261465336Advancing multilevel Bayesian networks with efficient Bayesian inference
Bezalem Eshetu Yirdaw, Legesse Kassa Debusho, Janet van Niekerk, Håvard Rue et al.
2026-09 · DOI: 10.1177/09622802261468020Covariate-adaptive randomization with dropouts
Meng-Hsuan Sung, Qian Xiao, Ye Shen
2026-09 · DOI: 10.1177/09622802261475671A propensity score-integrated win ratio method for placebo borrowing
Yurong Chen, Michael Sonksen, Tuo Wang, Yingdong Feng et al.
2026-08-26 · DOI: 10.1177/09622802261478737Combining dependent p-values with transformation using empirical distribution of correlated data and its application for genomic data
Junsik Kim, Junyong Park
2026-08-26 · DOI: 10.1177/09622802261480383Reviews
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October 4, 2026 at 9:00 pm
October 2, 2026