Impact Factor
3.27
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
2.34
629 total citations
h5-index
34
h5 depth signal
Cited share
64.6%
201 of 311
Total citations
629
Citation footprint
Metric signal
1.82
External metric anchor
Self-citation
4.5%
28 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
1,334
China
284
United Kingdom
111
Canada
101
Germany
66
Citing Fields of Research
Statistical Methods
1,601
AI & Machine Learning
220
Genetics & Genomics
174
Medical Ethics
65
Neurosciences
60
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
6,911
Articles tracked across the journal lifetime
Indexed publication set
311
201 cited publications
Last 12 months
182
22.8 publications/month
Open access share
28.0%
51 OA publications in the last year
Leading citing country
United States
1,334 citing publications
Leading citing field
Statistical Methods
1,601 citing publications
Latest tracked publication
7 October 2026
10 recent records available
Coverage & Indexing History
v21n3,Sept. 1965-
v21n3,Sept. 1965-
Active Coverage
Active Coverage
Research Focus & Classification
Indexed Subjects
Statistical Methods
Issuing & Sponsoring Bodies
Contributor
American Statistical Association. Biometrics Section
Contributor
Biometric Society
Broad Categories
Statistics as Topic
Statistical Methods
MeSH Descriptors
Biometry
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1093/biomtc/ujag170
Open DOI
Transportable inference using target population summary statistics under covariate shift
Transporting findings from a study population to a target population is central to evidence-based decision-making in real-world settings. Most existing methods require individual-level data from both populations to account for covariate ...
02
DOI 10.1093/biomtc/ujag168
Open DOI
A Gaussian process model for chemoinformatics with application to the hazard classification of organic solvents
With the proliferation of screening tools for chemical testing, it is now possible to create vast databases of chemicals easily. However, rigorous statistical methodologies employed to analyze these databases are in their infancy, and fu...
03
DOI 10.1093/biomtc/ujag171
Open DOI
Causal decomposition framework for quantifying intervenable cancer health disparities
This study proposes a nonparametric decomposition framework to quantify and prioritize the impact of multiple intervenable mediators contributing to disparities in health outcomes. Identifying modifiable components of health disparities ...
04
DOI 10.1093/biomtc/ujag169
Open DOI
Pseudo-data augmentation for exact conditional likelihood inference in meta-analysis
In meta-analyses of binary outcomes, two-stage methods based on the DerSimonian–Laird-type random-effects model have been widely used, but these methods fix the within-study variances to their asymptotic estimates and rely on normality a...
05
DOI 10.1093/biomtc/ujag172
Open DOI
Meta-analytical federated surveillance for incubation period with interval- and right-censored data with stochastic variational inference
Accurate estimation of incubation period is fundamental to surveillance for infectious diseases. This task faces two major challenges: (1) surveillance data are often coarsely observed, comprising interval- and right-censored observation...
06
DOI 10.1093/biomtc/ujag174
Open DOI
A Bayesian deep learning framework for brain dynamic functional connectivity linked with cognition
Recent neuroimaging studies have revealed that brain functional networks exhibit temporal fluctuations during cognitive tasks, sparking growing interest in dynamic functional connectivity (FC). However, few existing methods effectively i...
07
DOI 10.1093/biomtc/ujag164
Open DOI
Generative estimation of conditional survival function
We propose a deep generative approach to nonparametric estimation of conditional survival and hazard functions with censored data. The key idea of the proposed method is to first learn a conditional generator for the joint conditional di...
08
DOI 10.1093/biomtc/ujag167
Open DOI
Prediction intervals for random-effects meta-analysis based on confidence distributions and Edgington’s method
Statistical inference about the average effect in random-effects meta-analysis has been considered insufficient in the presence of substantial between-study heterogeneity. Predictive distributions are well suited for quantifying heteroge...
09
DOI 10.1093/biomtc/ujag139
Open DOI
Handbook of Statistical Methods for Precision Medicine
10
DOI 10.1093/biomtc/ujag137
Open DOI
Statistical Prediction and Machine Learning
Bibliographical & Catalog Notes
Issues for 1945-46 have title: Biometrics bulletin.
Also issued online.
Published by the American Statistical Association for its Biometrics Section, Feb. 1945-June 1950; by the Biometric Society, Sept. 1950-
Indexes: Vols. 1-10, 1945-54, in v. 10.
Vol. 45, no. 1 (MAR 1989)19900523 Notice not published Printed on acid-free paper