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Statistics in Medicine

ISSN 1097-0258· EN

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42.0 / 100
Journament Score
Below Average
Ranked #796 of 29,298 scored journals (34,012 indexed)
21 Articles
Scores higher than 97.2% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name Statistics in Medicine
Abbreviated Name stat med
ISSN 1097-0258
URL http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291097-0258

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.6 30.4
Accessibility 20.0 22.5
Timeliness 20.0 3.0
Diversity 61.1 22.7
Innovation 70.0 24.1
Community Impact 9.3 4.2
Content Distribution 73.7 88.7
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (21)

2016
Variable selection in covariate dependent random partition models: an application to urinary tract infection.
Barcella, William;Iorio, Maria De;Baio, Gianluca;Malone-Lee, James;
Vol. 35 , No. 8 , pp. 1373-89
415 views DOI Abstract
2017
Detection of smoothly distributed spatial outliers, with applications to identifying the distribution of parenchymal hyperinflation following an airway challenge in asthmatics.
Thurman, Andrew L;Choi, Jiwoong;Choi, Sanghun;Lin, Ching-Long;Hoffman, Eric A;Lee, Chang Hyun;Chan, Kung-Sik;
Vol. 36 , No. 10 , pp. 1638-1654
407 views DOI Abstract
2018
Bayesian measurement-error-driven hidden Markov regression model for calibrating the effect of covariates on multistate outcomes: Application to androgenetic alopecia.
Yen, Amy Ming-Fang;Chen, Hsiu-Hsi;
Vol. 37 , No. 21 , pp. 3125-3146
386 views DOI Abstract
2011
Frailty modelling for survival data from multi-centre clinical trials.
Ha, Il Do;Sylvester, Richard;Legrand, Catherine;Mackenzie, Gilbert;
Vol. 30 , No. 17 , pp. 2144-59
385 views DOI Abstract
2017
Parametric multistate survival models: Flexible modelling allowing transition-specific distributions with application to estimating clinically useful measures of effect differences.
Crowther, Michael J;Lambert, Paul C;
Vol. 36 , No. 29 , pp. 4719-4742
353 views DOI Abstract
2020
A hierarchical testing approach for detecting safety signals in clinical trials.
Tan, Xianming;Chen, Bingshu E;Sun, Jianping;Patel, Tejendra;Ibrahim, Joseph G;
342 views DOI Abstract
2019
Estimating individual treatment effects by gradient boosting trees.
Sugasawa, Shonosuke;Noma, Hisashi;
335 views DOI Abstract
2013
Nonparametric regression of state occupation, entry, exit, and waiting times with multistate right-censored data.
Mostajabi, Farida;Datta, Somnath;
Vol. 32 , No. 17 , pp. 3006-19
328 views DOI Abstract
2019
The use of weight adjusted for height rather than body mass index to assess growth trajectory: Results from a population-based cohort.
Araújo, Joana;Ramos, Elisabete;Mishra, Gita D;Severo, Milton;
Vol. 38 , No. 5 , pp. 855-865
311 views DOI Abstract
2018
Response to letter by Antonio Martín Andrés on “A boundary-optimized rejection region test for the two-sample binomial problem”
Gabriel, Erin E.;Nason, Martha;Fay, Michael P.;Follmann, Dean;
Vol. 37 , No. 1 , pp. 2303-2306
296 views DOI
2024
Causal mediation analysis with mediator values below an assay limit.
Chernofsky, Ariel;Bosch, Ronald J;Lok, Judith J;
100 views DOI Abstract
2020
A hierarchical testing approach for detecting safety signals in clinical trials.
Tan, Xianming;Chen, Bingshu E;Sun, Jianping;Patel, Tejendra;Ibrahim, Joseph G;
342 views DOI Abstract
2019
What are the statistical implications of treatment non-compliance in cluster randomized trials: A simulation study.
Moerbeek, Mirjam;Schie, Sander van;
Vol. 38 , No. 26 , pp. 5071-5084
235 views DOI Abstract
2019
An integer-valued time series model for multivariate surveillance.
Pedeli, Xanthi;Karlis, Dimitris;
229 views DOI Abstract
2019
Estimating individual treatment effects by gradient boosting trees.
Sugasawa, Shonosuke;Noma, Hisashi;
335 views DOI Abstract
2019
Evaluating classification accuracy for modern learning approaches
Li, J.
Vol. 38 , pp. 2477-2503
162 views DOI
2019
Structure estimation of binary graphical models on stratified data: Application to the description of injury tables for victims of road accidents
Ballout, N.
Vol. 38 , pp. 2680-2703
262 views DOI
2019
The use of weight adjusted for height rather than body mass index to assess growth trajectory: Results from a population-based cohort.
Araújo, Joana;Ramos, Elisabete;Mishra, Gita D;Severo, Milton;
Vol. 38 , No. 5 , pp. 855-865
311 views DOI Abstract
2018
Response to letter by Antonio Martín Andrés on “A boundary-optimized rejection region test for the two-sample binomial problem”
Gabriel, Erin E.;Nason, Martha;Fay, Michael P.;Follmann, Dean;
Vol. 37 , No. 1 , pp. 2303-2306
296 views DOI
2018
Bayesian measurement-error-driven hidden Markov regression model for calibrating the effect of covariates on multistate outcomes: Application to androgenetic alopecia.
Yen, Amy Ming-Fang;Chen, Hsiu-Hsi;
Vol. 37 , No. 21 , pp. 3125-3146
386 views DOI Abstract
Journament Score
42.0/100 · Below Average
Ranked #796 of 29,298 scored
(34,012 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

42.0/100

Tier: Below Average

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.6/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

20.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

61.1/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

70.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

9.3/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

20.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

73.7/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.