Impact Factor
3.61
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
2.90
1,735 total citations
h5-index
47
h5 depth signal
Cited share
65.2%
447 of 686
Total citations
1,735
Citation footprint
Metric signal
2.83
External metric anchor
Self-citation
6.2%
107 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
2,256
United Kingdom
490
China
454
Canada
321
Germany
193
Citing Fields of Research
Statistical Methods
3,467
AI & Machine Learning
311
Medical Ethics
227
Genetics & Genomics
174
Clinical Laboratory Science
136
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
13,315
Articles tracked across the journal lifetime
Indexed publication set
686
447 cited publications
Last 12 months
471
39.3 publications/month
Open access share
49.5%
233 OA publications in the last year
Leading citing country
United States
2,256 citing publications
Leading citing field
Statistical Methods
3,467 citing publications
Latest tracked publication
18 October 2026
10 recent records available
Coverage & Indexing History
v1n1, 1982-
v1n1, 1982-
Active Coverage
Research Focus & Classification
Indexed Subjects
Statistical Methods
Broad Categories
Statistics as Topic
Statistical Methods
MeSH Descriptors
Biometry
Medicine
Statistics as Topic
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1002/sim.70751
Open DOI
Calibrating Machine Learning Approaches for Probability Estimation Without Calibration Data
Statistical prediction models for binary outcomes are becoming increasingly popular. One significant challenge is calibrating these models to suit the characteristics of a target population that is structurally different from the origina...
02
DOI 10.1002/sim.70774
Open DOI
Dynamic Prediction in Mixture Cure Models: A Model‐Based Landmarking Approach
Mixture cure models are widely used in survival analysis when a portion of patients is considered cured and is no longer at risk for the event of interest. In clinical settings, dynamic survival prediction is particularly important to re...
03
DOI 10.1002/sim.70788
Open DOI
Multivariable Mendelian Randomization With Weak Instruments: A Comparison of Bayesian and Frequentist Methods
Weak instruments are a well‐known limitation for valid causal inference in Mendelian randomization studies. In the single exposure setting, weak instrument bias can be mitigated by selecting genetic instruments which are strongly associa...
04
DOI 10.1002/sim.70789
Open DOI
Federated Time‐to‐Event Data Analysis Using Piecewise Exponential Regression in DataSHIELD
Time‐to‐event analyses on individual patient data are commonly performed with Cox or Poisson regression. The statistical power of epidemiological findings from such analyses is often sufficient when a large amount of data is analyzed, es...
05
DOI 10.1002/sim.70784
Open DOI
Valid Inference for Two Sample Summary Statistics Mendelian Randomization
Mendelian randomization (MR) studies increasingly rely on summary statistics from genome‐wide association studies (GWASs). However, current summary‐data methods treat marginal GWAS effect estimates as independent across instrumental sing...
06
DOI 10.1002/sim.70783
Open DOI
Locally Estimated Scatterplot Smoothing for Censored Survival Data
In the absence of censoring, locally estimated scatterplot smoothing (LOESS) is a powerful tool to estimate the relationship between a continuous covariate and the probability of an event and is often used to visually assess calibration ...
07
DOI 10.1002/sim.70773
Open DOI
A Max 0–1 Weighted Log‐Rank Test for Time‐to‐Event Data With Random Delayed Treatment Effect
In a cancer clinical trial with an immunotherapy, the treatment often becomes effective after a certain delay time. It is well known that traditional log‐rank test no longer provides optimal power in this case. There has been a great int...
08
DOI 10.1002/sim.70786
Open DOI
Optimal Two‐Phase Sampling Designs for Generalized Raking Estimators With Multiple Parameters of Interest
Large observational datasets, including those derived from electronic health records, are a valuable resource for medical research but are often affected by missingness, measurement error, and misclassification. Two‐phase sampling with g...
09
DOI 10.1002/sim.70778
Open DOI
Design and Analysis Strategies for Pooling in High Throughput Screening: Application to the Search for a New Anti‐Microbial
A major public health issue is the growing resistance of bacteria to antibiotics. An important part of the needed response is the discovery and development of new antimicrobial strategies. Require the screening of potential new drugs, ty...
10
DOI 10.1002/sim.70787
Open DOI
Clinically Interpretable Time‐To‐Event Testing in Randomized Clinical Trials: Milestone Survival Combined With Restricted Mean Survival Time
The log‐rank test and hazard ratio (HR) are widely used to compare survival curves in event‐driven randomized clinical trials (RCTs). The optimality of the log‐rank test and interpretation of the HR rely on the proportional hazards (PH) ...
Bibliographical & Catalog Notes
Title from cover.
Also issued online.
Vol. 8, no. 1 (JAN 1989)19900917 Notice not published Printed on acid-free paper