Journal of the American Statistical Association
Overview
The Journal of the American Statistical Association (JASA) is a prestigious scholarly publication that covers a wide range of statistical research and applications. It features high-quality articles, reviews, and discussions on statistical theory, methodology, and practice, making it an essential resource for statisticians, researchers, and practitioners. JASA promotes the advancement of statistical science and fosters collaboration and innovation in the field.
Details
Details
Abbr.
J Am Stat Assoc
Start
1922
End
Continuing
Frequency
Quarterly
p-ISSN
0162-1459
e-ISSN
1537-274X
Country
United States
Language
English
Specialty
Public Health
Metrics
Metrics
h-index / Ranks: 579
215
SJR / Ranks: 381
3922
CiteScore / Ranks: 2824
7.10
JIF / Ranks: 2561
3.7
Recent Articles
11.
Chakraborty A, Ou R, Dunson D
J Am Stat Assoc
. 2025 Feb;
119(548):2560-2571.
PMID: 39906145
It has become increasingly common to collect high-dimensional binary response data; for example, with the emergence of new sampling techniques in ecology. In smaller dimensions, multivariate probit (MVP) models are...
12.
Balocchi C, Deshpande S, George E, Jensen S
J Am Stat Assoc
. 2025 Jan;
118(542):818-829.
PMID: 39877330
Accurate estimation of the change in crime over time is a critical first step toward better understanding of public safety in large urban environments. Bayesian hierarchical modeling is a natural...
13.
Guerrier S, Molinari R, Victoria-Feser M, Xu H
J Am Stat Assoc
. 2025 Jan;
117(540):1996-2013.
PMID: 39845942
Latent time series models such as (the independent sum of) ARMA(, ) models with additional stochastic processes are increasingly used for data analysis in biology, ecology, engineering, and economics. Inference...
14.
Park K, Keles S
J Am Stat Assoc
. 2025 Jan;
119(548):2464-2477.
PMID: 39758139
Emerging single cell technologies that simultaneously capture long-range interactions of genomic loci together with their DNA methylation levels are advancing our understanding of three-dimensional genome structure and its interplay with...
15.
He Q, Gao F, Dukes O, Delany-Moretlwe S, Zhang B
J Am Stat Assoc
. 2025 Jan;
119(548):2478-2492.
PMID: 39749107
In many clinical settings, an active-controlled trial design (e.g., a non-inferiority or superiority design) is often used to compare an experimental medicine to an active control (e.g., an FDA-approved, standard...
16.
Li J, Zhou H, Bickel P, Tong X
J Am Stat Assoc
. 2024 Dec;
119(548):2450-2463.
PMID: 39697782
Motivated by the pressing needs for dissecting heterogeneous relationships in gene expression data, here we generalize the squared Pearson correlation to capture a mixture of linear dependences between two real-valued...
17.
Cai Z, Lei J, Roeder K
J Am Stat Assoc
. 2024 Dec;
119(547):1794-1804.
PMID: 39651450
Test of independence is of fundamental importance in modern data analysis, with broad applications in variable selection, graphical models, and causal inference. When the data is high dimensional and the...
18.
Guo Z
J Am Stat Assoc
. 2024 Dec;
119(547):1968-1984.
PMID: 39651449
Integrative analysis of data from multiple sources is critical to making generalizable discoveries. Associations consistently observed across multiple source populations are more likely to be generalized to target populations with...
19.
Duan L, Roy A
J Am Stat Assoc
. 2024 Nov;
119(547):2140-2153.
PMID: 39583343
Spectral clustering views the similarity matrix as a weighted graph, and partitions the data by minimizing a graph-cut loss. Since it minimizes the across-cluster similarity, there is no need to...
20.
Duarte G, Finkelstein N, Knox D, Mummolo J, Shpitser I
J Am Stat Assoc
. 2024 Nov;
119(547):1778-1793.
PMID: 39553407
Applied research conditions often make it impossible to point-identify causal estimands without untenable assumptions. -bounds on the range of possible solutions-is a principled alternative, but the difficulty of deriving bounds...