The New England Journal of Statistics in Data Science
Last updated ISSN 2693-7166
The New England Journal of Statistics in Data Science is an academic journal in mathematics. It is a subscription journal. Its article processing charge is not published.
Is your paper a fit?
The surest way to know is to compare your own abstract against what this journal has actually been publishing, rather than against its aims-and-scope page. Paste your abstract and Journal Hunt will tell you how close The New England Journal of Statistics in Data Science is — and show you journals like it.
What it publishes
Recent work in The New England Journal of Statistics in Data Science concentrates on these topics, taken from its published record rather than from its own description:
- Statistical Methods in Clinical Trials
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Optimal Experimental Design Methods
- Advanced Statistical Methods and Models
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Causal Inference Techniques
- Bayesian Methods and Mixture Models
- Advanced Multi-Objective Optimization Algorithms
- Meta-analysis and systematic reviews
Key facts
| Publisher | Not recorded |
|---|---|
| ISSN | 2693-7166 |
| Subject area | Mathematics |
| Access | Subscription |
| Article processing charge | Not published |
| Indexed in | Not recorded |
| Articles published | 114 |
| Publishing since | 2021 |
Facts come from OpenAlex, DOAJ and Wikidata and may lag the journal’s own pages. Check the publisher’s site before submitting. Indexing shown here is what is recorded, not a complete picture — about a third of journals have no indexing recorded anywhere we can read, so “not recorded” does not mean a journal is absent from Scopus or Web of Science.
Journals like The New England Journal of Statistics in Data Science
Other established journals in mathematics, if this one is not the right home for your paper: