The Annals of Applied Statistics
Overview
The Annals of Applied Statistics is a prestigious peer-reviewed journal that focuses on the application of statistical methods to solve real-world problems. It publishes cutting-edge research articles, reviews, and case studies that bridge the gap between theory and practice, making it an essential resource for statisticians, data scientists, and researchers in various fields.
Details
Details
Abbr.
Ann Appl Stat
Start
2007
End
Continuing
Frequency
Quarterly
p-ISSN
1932-6157
e-ISSN
1941-7330
Country
United States
Language
English
Metrics
Metrics
h-index / Ranks: 4067
84
SJR / Ranks: 4110
954
CiteScore / Ranks: 7633
3.50
JIF / Ranks: 5564
1.8
Recent Articles
1.
Xie C, Huang X, Li R, Tsodikov A, Bhalla K
Ann Appl Stat
. 2025 Feb;
18(4):2796-2817.
PMID: 40017565
To optimize personalized treatment strategies and extend patients' survival times, it is critical to accurately predict patients' prognoses at all stages, from disease diagnosis to follow-up visits. The longitudinal biomarker...
2.
Su B, Weiss R, Nouri-Mahdavi K, Holbrook A
Ann Appl Stat
. 2025 Feb;
18(4):3444-3466.
PMID: 40017564
We model longitudinal macular thickness measurements to monitor the course of glaucoma and prevent vision loss due to disease progression. The macular thickness varies over a 6 × 6 grid...
3.
Yang F, Chen L, Oveisgharan S, Darbar D, Bennett D
Ann Appl Stat
. 2025 Feb;
18(3):2656-2677.
PMID: 39990115
Mendelian randomization (MR) assesses the total effect of exposure on outcome. With the rapidly increasing availability of summary statistics from genome-wide association studies (GWASs), MR leverages existing summary statistics and...
4.
Dai W, Zhang H
Ann Appl Stat
. 2024 Dec;
18(3):2277-2294.
PMID: 39640845
Functional connectivity of the brain, characterized by interconnected neural circuits across functional networks, is a cutting-edge feature in neuroimaging. It has the potential to mediate the effect of genetic variants...
5.
Wikle N, Zigler C
Ann Appl Stat
. 2024 Dec;
18(4):2753-2774.
PMID: 39640359
Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination of local and nonlocal treatment. This is...
6.
Peterson A, Berrocal V, Sanchez-Vaznaugh E, Sanchez B
Ann Appl Stat
. 2024 Nov;
17(2):1641-1662.
PMID: 39605799
Built environment features (BEFs) refer to aspects of the human constructed environment, which may in turn support or restrict health related behaviors and thus impact health. In this paper we...
7.
Won J, Elliott M, Sanchez-Vaznaugh E, Sanchez B
Ann Appl Stat
. 2024 Nov;
17(2):1722-1739.
PMID: 39605798
Studies examining the contribution of the built environment to health often rely on commercial data sources to derive exposure measures such as the number of specific food outlets in study...
8.
Huang Y, Feng Z
Ann Appl Stat
. 2024 Nov;
18(2):1543-1564.
PMID: 39555026
Cancer screening facilitates the early detection of cancer, at a stage when treatment is often most effective. However, it also brings the risk of over-diagnosis, where a diagnosis made through...
9.
Shook-Sa B, Hudgens M, Knittel A, Edmonds A, Ramirez C, Cole S, et al.
Ann Appl Stat
. 2024 Nov;
18(3):2147-2165.
PMID: 39493307
Causal inference methods can be applied to estimate the effect of a point exposure or treatment on an outcome of interest using data from observational studies. For example, in the...
10.
Maronge J, Huling J, Chen G
Ann Appl Stat
. 2024 Oct;
17(4):3384-3402.
PMID: 39463820
Individualized treatment rules (ITRs) for treatment recommendation is an important topic for precision medicine as not all beneficial treatments work well for all individuals. Interpretability is a desirable property of...