Journal of the Royal Statistical Society Series A (Statistics in Society)

Royal Statistical Society

Not yet evaluated

About the journal

Journal of the Royal Statistical Society Series A (Statistics in Society) is a journal published by Royal Statistical Society in United States. It is listed in PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Royal Statistical Society
ISSN
0964-1998 · 1467-985X
Country
United States
Access
Not open access / not declared

Index listings

  • PUBMED · 2001-04-01
Indexing
PUBMED
APC
—
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

4067

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

181

i10-index

1495

From OpenAlex open data (CC0).

Editorial & policy5
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Norwegian register (HK-dir)— 2027
Level 2 — top tier (~20% of the field's channels)
Open references deposited at Crossref
72%
ORCID iDs in current deposits
73%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity3
Alternate titles
Statistics in societyJ R Stat Soc Ser A Stat Soc
Source type
journal
NLM unique ID (PubMed)
9001406
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Inference
  • Statistical Methods and Inference
  • Advanced Causal Inference Techniques
  • Advanced Causal Inference Techniques
  • Advanced Statistical Methods and Models
  • Advanced Statistical Methods and Models
Show all subjects (50)
  • Census and Population Estimation
  • Census and Population Estimation
  • COVID-19 epidemiological studies
  • COVID-19 epidemiological studies
  • Spatial and Panel Data Analysis
  • Spatial and Panel Data Analysis
  • Statistics Education and Methodologies
  • Statistics Education and Methodologies
  • demographic modeling and climate adaptation
  • demographic modeling and climate adaptation
  • Bayesian Methods and Mixture Models
  • Bayesian Methods and Mixture Models
  • Statistical Methods in Clinical Trials
  • Statistical Methods in Clinical Trials
  • Insurance, Mortality, Demography, Risk Management
  • Insurance, Mortality, Demography, Risk Management
  • Health disparities and outcomes
  • Health disparities and outcomes
  • Data-Driven Disease Surveillance
  • Data Analysis with R
  • Data-Driven Disease Surveillance
  • Data Analysis with R
  • Urban, Neighborhood, and Segregation Studies
  • Urban, Neighborhood, and Segregation Studies
  • Survey Methodology and Nonresponse
  • Survey Methodology and Nonresponse
  • Global Health Care Issues
  • Global Health Care Issues
  • Health Systems, Economic Evaluations, Quality of Life
  • Health Systems, Economic Evaluations, Quality of Life
  • Bayesian Modeling and Causal Inference
  • Healthcare Policy and Management
  • Bayesian Modeling and Causal Inference
  • Healthcare Policy and Management
  • Economic and Environmental Valuation
  • Economic and Environmental Valuation
  • Diverse Scientific and Economic Studies
  • Diverse Scientific and Economic Studies
  • Monetary Policy and Economic Impact
  • Income, Poverty, and Inequality
  • Monetary Policy and Economic Impact
  • Income, Poverty, and Inequality

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: