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Statistics in Medicine

ISSN 1097-0258· EN

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41.4 / 100
Journament Score
Below Average
Ranked #7,177 of 33,995 indexed journals
21 Articles
Accessibility 35
Engagement 31
The Journament Score combines content quality, publication ethics and transparency, editorial standards, publication regularity, accessibility and reader engagement into a single 0–100 figure. It is recalculated as new articles and metadata are indexed.

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

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
398 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
396 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
376 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
372 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
338 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;
332 views DOI Abstract
2019
Estimating individual treatment effects by gradient boosting trees.
Sugasawa, Shonosuke;Noma, Hisashi;
319 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
316 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
305 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
289 views DOI
2024
Causal mediation analysis with mediator values below an assay limit.
Chernofsky, Ariel;Bosch, Ronald J;Lok, Judith J;
87 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;
332 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
226 views DOI Abstract
2019
An integer-valued time series model for multivariate surveillance.
Pedeli, Xanthi;Karlis, Dimitris;
218 views DOI Abstract
2019
Estimating individual treatment effects by gradient boosting trees.
Sugasawa, Shonosuke;Noma, Hisashi;
319 views DOI Abstract
2019
Evaluating classification accuracy for modern learning approaches
Li, J.
Vol. 38 , pp. 2477-2503
145 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
247 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
305 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
289 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
376 views DOI Abstract
Journament Score
41.4/100 · Below Average
Ranked #7,177 of 33,995
Journament

Overall Quality Score

41.4/100

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

30.9/100

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

35.0/100

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

30.0/100

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

40.0/100

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

34.5/100

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

50.0/100

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

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

Ethics & Transparency Score

0.0/100

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

0.0/100

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

0.0/100

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

0.0/100

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

0.0/100

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.