Academic Journal
Q1Biostatistics
About Biostatistics
Biostatistics is a scholarly journal published by Oxford University Press. SCImago 2025 lists it in Q1, with an SJR of 1.24 and H-index of 100.
Coverage: 2003-2026. Research categories: Medicine (miscellaneous) (Q1); Statistics and Probability (Q1); Statistics, Probability and Uncertainty (Q1).
Source-backed journal facts
Topics in published research
Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Statistical Methods in Clinical Trials; Advanced Causal Inference Techniques; Gene expression and cancer classification; 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
3,296.00 USD
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.
Data-adaptive identification of effect modifiers through stochastic shift interventions and cross-validated targeted learning
David McCoy, Wenxin Zhang, Alan Hubbard, Mark van der Laan et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxag020Towards optimal environmental policies: policy learning under arbitrary bipartite network interference
Raphael C Kim, Falco J Bargagli-Stoffi, Kevin L Chen, Rachel C Nethery et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxaf041Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing data
Cristian Castiglione, Alexandre Segers, Lieven Clement, Davide Risso et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxag010Bayesian nonparametric mixtures of categorical directed graphs for personalized causal inference
Federico Castelletti, Laura Ferrini
2026-01-20 · DOI: 10.1093/biostatistics/kxag026Cure rate joint model for time-to-event data and longitudinal tumor burden with potential change points
Yixiang Qu, Ethan M Alt, Weibin Zhong, Jeen Liu et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxag025Multivariate functional linear discriminant analysis with feature selection: an application to inflammatory bowel disease classification
Limeng Liu, Guannan Wang, Sandra E Safo
2026-01-20 · DOI: 10.1093/biostatistics/kxag027A monotone single-index modal regression powered by deep neural networks for non-Gaussian periodontal data
Qingyang Liu, Shijie Wang, Ray Bai, Dipankar Bandyopadhyay et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxag040Borrowing from historical control data in a Bayesian time-to-event model with flexible baseline hazard function
Darren A V Scott, Alex Lewin
2026-01-20 · DOI: 10.1093/biostatistics/kxag006Data-augmented multistate modeling for chronic disease processes using cross-sectional studies: application to HPV and cervical precancer
Fangya Mao, Nicole G Campos, Li C Cheung
2026-01-20 · DOI: 10.1093/biostatistics/kxag022Joint modeling of high-dimensional longitudinal data and survival using supervised low-rank tensor decomposition
Mohammad Samsul Alam, Rima Kaddurah-Daouk, Sheng Luo
2026-01-20 · DOI: 10.1093/biostatistics/kxag007A Bayesian functional concurrent zero-inflated Dirichlet-multinomial regression model with application to infant microbiome
Brody Erlandson, Ander Wilson, Matthew D. Koslovsky
2026-01-20 · DOI: 10.1093/biostatistics/kxag019Addressing the influence of unmeasured confounding in observational studies with time-to-event outcomes: a semiparametric sensitivity analysis approach
Linda Amoafo, Shiyao Xu, Elizabeth Platz, Daniel Scharfstein et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxag005Risk estimation and dynamic prediction using discrete-time joint models for longitudinal and multistate data with interval and state censoring
Lu You, Falastin Salami, Carina Törn, Åke Lernmark et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxag018A two-stage approach for segmenting spatial point patterns applied to multiplex imaging
Alvin Sheng, Brian J Reich, Ana-Maria Staicu, Santhoshi N Krishnan et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxaf049Penalized likelihood optimization for adaptive neighborhood clustering in time-to-event data with group-level heterogeneity
Alessandra Ragni, Lara Cavinato, Francesca Ieva
2026-01-20 · DOI: 10.1093/biostatistics/kxag039A data integration framework to improve the efficiency of survival analysis by leveraging multiple external studies with multifaceted heterogeneity
Daxuan Deng, Chixiang Chen, Lijun Zhang, Vernon M Chinchilli et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxag035A novel decomposition to explain heterogeneity in observational and randomized studies of causality
Brian Gilbert, Iván Díaz, Kara Rudolph, Nicholas Williams et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxag030Risk functions with outcome measurement error
Jessie K Edwards, Stephen R Cole, Paul N Zivich, Benjamin Ackerman et al.
2026-01-20 · DOI: 10.1093/biostatistics/kxaf052Adaptive transfer learning for time-to-event modeling with applications in disease risk assessment
Yuying Lu, Tian Gu, Rui Duan
2026-01-20 · DOI: 10.1093/biostatistics/kxag011NBSR: a Negative Binomial Softmax Regression model for microRNA-seq data analysis
Seong-Hwan Jun, Marc K Halushka, Matthew N McCall
2026-01-20 · DOI: 10.1093/biostatistics/kxag012Reviews
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October 4, 2026 at 8:54 pm
September 25, 2026