Impact Factor
3.52
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
3.47
795 total citations
h5-index
34
h5 depth signal
Cited share
67.9%
178 of 262
Total citations
795
Citation footprint
Metric signal
2.63
External metric anchor
Self-citation
3.5%
28 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
786
United Kingdom
281
China
251
Canada
171
Netherlands
96
Citing Fields of Research
Statistical Methods
1,610
AI & Machine Learning
121
Medical Ethics
105
Clinical Laboratory Science
64
Genetics & Genomics
57
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
3,221
Articles tracked across the journal lifetime
Indexed publication set
262
178 cited publications
Last 12 months
141
11.8 publications/month
Open access share
44.0%
62 OA publications in the last year
Leading citing country
United States
786 citing publications
Leading citing field
Statistical Methods
1,610 citing publications
Latest tracked publication
15 October 2026
10 recent records available
Coverage & Indexing History
v1n1, 1992-
v1n1, 1992-
Active Coverage
Research Focus & Classification
Indexed Subjects
Statistical Methods
Broad Categories
Statistics as Topic
Statistical Methods
MeSH Descriptors
Research
Review Literature as Topic
Statistics as Topic
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1177/09622802261498389
Open DOI
Cluster-level analysis in three-level cluster randomised trials with multi-level covariate-dependent missingness
Community-based public health interventions often use three-level cluster randomised trials (CRTs), for example, individuals are nested within households which are again nested within communities. In these trials, outcome missingness com...
02
DOI 10.1177/09622802261497856
Open DOI
ROC-based methods for comparing two survival curves under non-proportional hazards with right, left, and doubly censored data
Studies comparing two survival curves to assess treatment differences are commonplace. The widely used log-rank test assumes proportional hazards (PH) and may yield misleading results when this assumption is violated. Alternative methods...
03
DOI 10.1177/09622802261498390
Open DOI
Treatment comparisons using a measurement during follow-up and a right-censored time-to-event outcome
In clinical trials, the comparison between treatment arms of a measurement is often complicated by an event such as death or progression that can make this measurement irrelevant or difficult to perform. In this article, an approach is p...
04
DOI 10.1177/09622802261495091
Open DOI
Mixture cure rate model with artificial neural network for interval-censored data
Mixture cure rate models represent a valuable tool to delineate the presence of a cured subgroup in the entire population under study. Among the vast literature, a popular research line is to regress the probability of an individual bein...
05
DOI 10.1177/09622802261495109
Open DOI
A Bayesian prevalence incidence cure model for estimating survival using electronic health records with incomplete baseline diagnoses
Retrospective cohorts can be extracted from electronic health records (EHRs) to study prevalence, time until disease or event occurrence, and cure proportion in real-world scenarios. However, EHRs are collected for patient care rather th...
06
DOI 10.1177/09622802261490778
Open DOI
A Bayesian adaptive shift-mixture approach for estimating incubation period and exposure time in small outbreaks
Rapid estimation of infection time and the incubation-period distribution is essential for evidence-based quarantine and contact tracing. However, outbreak data typically mix primary and higher-generation cases with unobserved exposure t...
07
DOI 10.1177/09622802261488056
Open DOI
A flexible Monte Carlo quantitative bias analysis for unmeasured confounding
Quantitative bias analysis (QBA) for unmeasured confounding is essential for observational studies. A probabilistic QBA incorporates external information about the unmeasured confounders via prior distributions for certain parameters (kn...
08
DOI 10.1177/09622802261483498
Open DOI
A regularized semiparametric cure-rate model with high-dimensional imaging data
Structural magnetic resonance imaging (MRI) is informative for studying progression from mild cognitive impairment (MCI) to Alzheimer’s disease (AD), but incorporating high-dimensional images into survival models requires methods that ac...
09
DOI 10.1177/09622802261491945
Open DOI
Generalizing the two sources capture–recapture estimator for covariate information
Dual system estimation is a statistical tool used to estimate the hidden population where each of the two sources covers part of the population. In estimation, the widely used Lincoln–Petersen and Chapman estimators are used under the as...
10
DOI 10.1177/09622802261489815
Open DOI
A new bivariate cure rate model and its application to diabetic retinopathy
Modeling the time until an event occurs is often of interest, and in particular when two events occur to one subject, often modeled via bivariate distributions. Further scenarios occur where some subjects in the population are cured and ...
Bibliographical & Catalog Notes
Also issued online.
Vol. 1, no. 1 (MAR 1991)19940505 Notice published Printed on acid-free paper