Academic Journal
Quartile not availableThe American Statistician
About The American Statistician
About The American Statistician
The American Statistician is a peer-reviewed scholarly journal published by Taylor & Francis.
Key indicators: ISSN 00031305, 15372731.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
Publishing in The American Statistician
When considering this journal, verify its current indexing status, editorial board, and recent publications to ensure it meets your needs for visibility and credibility.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
- Submission: Submit via the official journal website.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of The American Statistician?
00031305, 15372731.
Who publishes The American Statistician?
Taylor & Francis.
Where do I submit to The American Statistician?
Via the official website.
Is The American Statistician peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Journal Metrics
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.
Freedman’s Paradox at Forty: A Practitioner’s Guide to Variable Selection Failures and Safeguards
Diogo Figueirinhas, Yulia Vakulenko
2026-10-07 · DOI: 10.1080/00031305.2026.2742880From Posterior Discrepancy to Inferential Consequences: A Comment on Sugasawa (2026)
Jomel Mabborang, Romnick D. Magusib, Kastin Joyce Ibay, Riza Calimag et al.
2026-10-06 · DOI: 10.1080/00031305.2026.2732103Bernoulli amputation
Marius Hofert, James Jackson, Niels Hagenbuch
2026-10-06 · DOI: 10.1080/00031305.2026.2742879The Ladder of Abstraction in Statistical Graphics
Andrew Gelman, Kaiser Fung
2026-09-29 · DOI: 10.1080/00031305.2026.2723043Complementary Strengths of the Neyman–Rubin and Graphical Causal Frameworks
Tetiana Gorbach, Xavier de Luna, Juha Karvanen, Ingeborg Waernbaum et al.
2026-09-29 · DOI: 10.1080/00031305.2026.2719499Automated, Efficient, and Model-Free Inference for Randomized Clinical Trials via Data-Driven Covariate Adjustment
Kelly Van Lancker, Iván Díaz, Stijn Vansteelandt
2026-09-17 · DOI: 10.1080/00031305.2026.2700237Collinear Groupwise Selection via Scaled Group Lasso
Bahadır Yüzbaşı, Jiguo Cao
2026-09-17 · DOI: 10.1080/00031305.2026.2709494Supervised Random Feature Regression via Projection Pursuit
Jingran Zhou, Ling Zhou, Shaogao Lv
2026-09-15 · DOI: 10.1080/00031305.2026.2734170Sex at birth could well be a biological coin toss…. Beware of conditioning on post-baseline information
Judith J. Lok, Mireille Schnitzer
2026-09-14 · DOI: 10.1080/00031305.2026.2732102Evaluation of robust Bayesian mixed-effects models of longitudinal childhood BMI
Jordan Hedges, Sarah R. Crozier, Adam Collins, Noel Cameron et al.
2026-09-14 · DOI: 10.1080/00031305.2026.2730371Graph Canonical Coherence Analysis
Kyusoon Kim, Hee-Seok Oh
2026-09-08 · DOI: 10.1080/00031305.2026.2730356A New Nonparametric Empirical Likelihood Estimator for Quantile Regression under Right Censoring
Madiha Tour
2026-09-04 · DOI: 10.1080/00031305.2026.2709492Hidden Decisions in Statistical Software: How Default Settings and Implementation Choices Undermine Reproducibility
Yang Wang
2026-09-03 · DOI: 10.1080/00031305.2026.2729003Exercises in Statistical Reasoning (by Michael R. Schwob, Yunshan Duan, Beatrice Cantoni, Bernardo Flores-Lopez, and Stephen G. Walker)
Weining Shen
2026-08-26 · DOI: 10.1080/00031305.2026.2695123Interpreting and Extending the Maximum Ratio Test of Unacceptability
Adam Hall
2026-08-26 · DOI: 10.1080/00031305.2026.2703630Estimating Mean and Variance from Right-Censored Data
Dragan Banjevic
2026-08-04 · DOI: 10.1080/00031305.2026.2701333How Much Information Remains Under Censoring? A Variance Decomposition for the Kaplan–Meier Estimator
Szilárd Nemes
2026-08-03 · DOI: 10.1080/00031305.2026.2701342Normality Tests, Rounded Data, and Random Sets: Imprecision Meets Uncertainty
Marina Iturrate-Bobes, Ignacio Montes, Raúl Pérez-Fernández
2026-07-22 · DOI: 10.1080/00031305.2026.2687612Prior Sensitivity Analysis without Model Re-Fit
Shonosuke Sugasawa
2026-07-16 · DOI: 10.1080/00031305.2026.2691097Causal Regions and Simulation of Autoregressive Models
Colin Gallagher, Rebecca Killick, Xinyi Li
2026-07-16 · DOI: 10.1080/00031305.2026.2695128Reviews
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Version History
October 10, 2026 at 6:05 pm
October 9, 2026