Impact Factor
2.71
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
2.30
95 total citations
h5-index
13
h5 depth signal
Cited share
55.8%
24 of 43
Total citations
95
Citation footprint
Metric signal
1.55
External metric anchor
Self-citation
1.1%
1 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
109
France
31
Canada
24
China
22
Germany
19
Citing Fields of Research
Statistical Methods
233
AI & Machine Learning
28
Genetics & Genomics
21
Clinical Laboratory Science
11
Medical Ethics
9
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
566
Articles tracked across the journal lifetime
Indexed publication set
43
24 cited publications
Last 12 months
19
2.4 publications/month
Open access share
10.5%
2 OA publications in the last year
Leading citing country
United States
109 citing publications
Leading citing field
Statistical Methods
233 citing publications
Latest tracked publication
15 October 2026
10 recent records available
Coverage & Indexing History
v1n1, 2005-
v1n1, 2005-
Research Focus & Classification
Indexed Subjects
Statistical Methods
Broad Categories
Statistics as Topic
Statistical Methods
MeSH Descriptors
Biometry
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1515/ijb-2025-0024
Open DOI
Best subset selection meets resampling: tackling selection instability at very low numbers of events per variable
Trust is a basic necessity for translating machine learning models from bench to bedside. To foster clinicians’ trust in predictive models, these models should be interpretable or explainable. A major prerequisite for interpretability or...
02
DOI 10.1515/ijb-2025-0054
Open DOI
Estimating relapse time distribution from longitudinal biomarker trajectories using iterative regression and continuous time Markov processes
Biomarker measurements obtained by blood sampling are often used as a non-invasive means of monitoring tumour progression in cancer patients. Diseases evolve dynamically over time, and studying longitudinal observations of specific bioma...
03
DOI 10.1515/ijb-2026-0010
Open DOI
A longitudinal Bayesian framework for estimating causal dose-response relationships
Existing causal methods for time-varying exposure and time-varying confounding focus on estimating the average causal effect of a time-varying binary treatment on an end-of-study outcome, offering limited tools for characterizing margina...
04
DOI 10.1515/ijb-2026-0026
Open DOI
Machine learning for estimating and comparing clinical rules for treating diarrheal illness with antibiotics
Acute diarrheal disease is a leading cause of death in children under age 5, disproportionately impacting children in low-resource settings. Although many cases could respond to antibiotic treatment, the benefits of widely prescribing an...
05
DOI 10.1515/ijb-2025-0101
Open DOI
Doubly robust estimation of monotonic survival curves for time-varying treatments in observational studies
Doubly robust estimators of the longitudinal g-computation formula enhance robustness against model misspecification, offering an improvement over the standard inverse probability weighted estimators. However, existing doubly robust esti...
06
DOI 10.1515/ijb-2025-0087
Open DOI
Using non-targeted HPV infections in studies with risk compensation
Studies of HPV vaccine efficacy usually record infections with vaccine targeted and non-targeted strains. Contrary to blinded randomized controlled trials, confounding bias can be a threat and risk compensation may occur in observational...
07
DOI 10.1515/ijb-2026-0055
Open DOI
Targeted maximum likelihood estimation (TMLE) in regulatory submissions and research: a landscape analysis
Targeted Maximum Likelihood Estimation, also referred to as Targeted Minimum Loss Estimation (TMLE), is a statistical method that enables causal inference while incorporating flexible, advanced machine learning techniques. Within the dru...
08
DOI 10.1515/ijb-2025-0066
Open DOI
Robust median regression for count data with general lower truncation using a contaminated discrete Weibull model
In right-skewed count data, the mean is disproportionately affected by a long upper tail, whereas the median remains a more representative measure of central tendency. Discrete Weibull (DW) regression links covariates to a shifted median...
09
DOI 10.1515/ijb-2026-frontmatter1
Open DOI
Frontmatter
10
DOI 10.1515/ijb-2025-0131
Open DOI
Predicting birth weight by multivariate functional principal component regressions
Functional data analysis (FDA) provides a powerful statistical framework for analyzing complex data, such as curves or functions, over high-dimensional domains. In this paper, we focus on functional predictor regression (scalar-on-functi...
Bibliographical & Catalog Notes
Title from journal home page (publisher's Web site, viewed Aug. 22, 2005).
"Articles are published as soon as they are ready."
Latest issue consulted: Vol. 3, issue 1 (2007) (viewed Jan. 9, 2008).
Also issued in print.
Mode of access: World Wide Web.