Journal of the Royal Statistical Society. Series A, (statistics in Society)
Overview
The Journal of the Royal Statistical Society, Series A (Statistics in Society) is a prestigious academic journal that focuses on the application of statistical methods in various societal contexts. It publishes high-quality research articles, reviews, and discussions that contribute to the understanding and advancement of statistical techniques for addressing social, economic, and public health issues. The journal serves as a valuable resource for statisticians, researchers, and policymakers interested in utilizing statistics to make informed decisions and improve society.
Details
Details
Abbr.
J R Stat Soc Ser A Stat Soc
Publisher
Oxford University Press
Start
1988
End
Continuing
Frequency
Four no. a year, 2004-
p-ISSN
0964-1998
e-ISSN
1467-985X
Country
United Kingdom
Language
English
Specialty
Public Health
Metrics
Metrics
h-index / Ranks: 3442
94
SJR / Ranks: 5520
775
CiteScore / Ranks: 8566
3.00
JIF / Ranks: 5186
2.0
Recent Articles
1.
Virgili-Gervais G, Schmidt A, Bixby H, Cavanaugh A, Owusu G, Agyei-Mensah S, et al.
J R Stat Soc Ser A Stat Soc
. 2025 Mar;
:qnae080.
PMID: 40026445
We propose a Bayesian hierarchical model to estimate a socio-economic status (SES) index based on mixed dichotomous and continuous variables. In particular, we extend Quinn's ([2004]. Bayesian factor analysis for...
2.
Wang L, Li Y, Graubard B, Katki H
J R Stat Soc Ser A Stat Soc
. 2025 Jan;
188(1):119-139.
PMID: 39810880
Accurate cancer risk estimation is crucial to clinical decision-making, such as identifying high-risk people for screening. However, most existing cancer risk models incorporate data from epidemiologic studies, which usually cannot...
3.
Boonstra P, Orozco Del Pino P
J R Stat Soc Ser A Stat Soc
. 2025 Jan;
188(1):46-67.
PMID: 39810879
Model integration refers to the process of incorporating a fitted historical model into the estimation of a current study to increase statistical efficiency. Integration can be challenging when the current...
4.
Bai E, Ju B, Beckner M, Reiter J, Merli M, Mouw T
J R Stat Soc Ser A Stat Soc
. 2025 Jan;
188(1):84-97.
PMID: 39810878
Many population surveys do not provide information on respondents' residential addresses, instead offering coarse geographies like zip code or higher aggregations. However, fine resolution geography can be beneficial for characterizing...
5.
Zivich P, Edwards J, Shook-Sa B, Lofgren E, Lessler J, Cole S
J R Stat Soc Ser A Stat Soc
. 2025 Jan;
188(1):158-180.
PMID: 39810877
Studies intended to estimate the effect of a treatment, like randomized trials, may not be sampled from the desired target population. To correct for this discrepancy, estimates can be transported...
6.
Hunt 3rd L, Murimi I, Segal J, Seamans M, Scharfstein D, Varadhan R
J R Stat Soc Ser A Stat Soc
. 2024 Nov;
183(4):1461-1478.
PMID: 39512652
Whereas generic drugs offer a cost-effective alternative to brand name drugs, regulators need a method to assess therapeutic equivalence in a post-market setting. We develop such a method in the...
7.
Wanis K, Sarvet A, Wen L, Block J, Rifas-Shiman S, Robins J, et al.
J R Stat Soc Ser A Stat Soc
. 2024 Sep;
187(3):796-810.
PMID: 39281783
Researchers are often interested in estimating the effect of sustained use of a treatment on a health outcome. However, adherence to strict treatment protocols can be challenging for individuals in...
8.
Kundu R, Shi X, Morrison J, Barrett J, Mukherjee B
J R Stat Soc Ser A Stat Soc
. 2024 Sep;
187(3):606-635.
PMID: 39281782
Using administrative patient-care data such as Electronic Health Records (EHR) and medical/pharmaceutical claims for population-based scientific research has become increasingly common. With vast sample sizes leading to very small standard...
9.
Clark D, Handcock M
J R Stat Soc Ser A Stat Soc
. 2024 Sep;
187(3):772-795.
PMID: 39281781
Claiming causal inferences in network settings necessitates careful consideration of the often complex dependency between outcomes for actors. Of particular importance are treatment spillover or outcome interference effects. We consider...
10.
Coffeng L, de Vlas S
J R Stat Soc Ser A Stat Soc
. 2024 May;
185(Suppl 1):S28-S35.
PMID: 38812905
No abstract available.