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statistical methods in medical research

ISSN 1477-0334· EN

Journal Website Certificate of Indexing
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40.3 / 100
Journament Score
Below Average
Ranked #2,173 of 29,297 scored journals (34,015 indexed)
11 Articles
Scores higher than 92.5% 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

الاسم المختصر stat methods med res
الاسم المختصر stat methods med res
ISSN 1477-0334
URL http://smm.sagepub.com

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 31.0 30.4
Accessibility 20.0 23.1
Timeliness 0.0 3.0
Diversity 72.2 26.4
Innovation 51.0 24.1
Community Impact 9.3 4.4
Content Distribution 85.3 89.3
Content Quality — 55.1
Ethics & Transparency — 40.5
Editorial Standards — 33.0
Publication Regularity — 52.9
Geographic Reach — 30.4

Publications Per Year

Articles (11)

2000
Exponential family models and statistical genetics.
Palmgren, J;
Vol. 9 , No. 1 , pp. 57-72
440 views Abstract
2017
An ensemble survival model for estimating relative residual longevity following stroke: Application to mortality data in the chronic dialysis population.
Phadnis, Milind A;Wetmore, James B;Shireman, Theresa I;Ellerbeck, Edward F;Mahnken, Jonathan D;
Vol. 26 , No. 6 , pp. 2667-2680
417 views DOI Abstract
2018
A two-stage model in a Bayesian framework to estimate a survival endpoint in the presence of confounding by indication.
Bellera, Carine;Proust-Lima, Cécile;Joseph, Lawrence;Richaud, Pierre;Taylor, Jeremy;Sandler, Howard;Hanley, James;Mathoulin-Pélissier, Simone;
Vol. 27 , No. 4 , pp. 1271-1281
404 views DOI Abstract
2019
Bayesian hidden Markov models for delineating the pathology of Alzheimer's disease.
Kang, Kai;Cai, Jingheng;Song, Xinyuan;Zhu, Hongtu;
Vol. 28 , No. 7 , pp. 2112-2124
401 views DOI Abstract
2017
Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions.
Lin, Li-An;Luo, Sheng;Chen, Bingshu E;Davis, Barry R;
Vol. 26 , No. 6 , pp. 2869-2884
392 views DOI Abstract
2019
Periodic-type auto-regressive moving average modeling with covariates for time-series incidence data via changepoint detection.
Kalligeris, Emmanouil-Nektarios;Karagrigoriou, Alex;Parpoula, Christina;
, pp. 962280219871587
364 views DOI Abstract
2019
Subgroup balancing propensity score.
Dong, Jing;Zhang, Junni L;Zeng, Shuxi;Li, Fan;
, pp. 962280219870836
349 views DOI Abstract
2019
Authors' reply: Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019)
Heo, M.
Vol. 28 , pp. 1600-1602
324 views DOI
2019
Comment to the reply letter: Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019)
Walter, S.
Vol. 28 , pp. 1603
322 views DOI
2019
Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019)
Walter, S.
Vol. 28 , pp. 1597-1598
298 views DOI
2019
Shared parameter models for joint analysis of longitudinal and survival data with left truncation due to delayed entry – Applications to cystic fibrosis
Schluchter, M.
Vol. 28 , pp. 1489-1507
170 views DOI
2019
Authors' reply: Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019)
Heo, M.
Vol. 28 , pp. 1600-1602
324 views DOI
2019
Comment to the reply letter: Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019)
Walter, S.
Vol. 28 , pp. 1603
322 views DOI
2019
Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019)
Walter, S.
Vol. 28 , pp. 1597-1598
298 views DOI
2019
Bayesian hidden Markov models for delineating the pathology of Alzheimer's disease.
Kang, Kai;Cai, Jingheng;Song, Xinyuan;Zhu, Hongtu;
Vol. 28 , No. 7 , pp. 2112-2124
401 views DOI Abstract
2019
Periodic-type auto-regressive moving average modeling with covariates for time-series incidence data via changepoint detection.
Kalligeris, Emmanouil-Nektarios;Karagrigoriou, Alex;Parpoula, Christina;
, pp. 962280219871587
364 views DOI Abstract
2019
Subgroup balancing propensity score.
Dong, Jing;Zhang, Junni L;Zeng, Shuxi;Li, Fan;
, pp. 962280219870836
349 views DOI Abstract
2018
A two-stage model in a Bayesian framework to estimate a survival endpoint in the presence of confounding by indication.
Bellera, Carine;Proust-Lima, Cécile;Joseph, Lawrence;Richaud, Pierre;Taylor, Jeremy;Sandler, Howard;Hanley, James;Mathoulin-Pélissier, Simone;
Vol. 27 , No. 4 , pp. 1271-1281
404 views DOI Abstract
2017
An ensemble survival model for estimating relative residual longevity following stroke: Application to mortality data in the chronic dialysis population.
Phadnis, Milind A;Wetmore, James B;Shireman, Theresa I;Ellerbeck, Edward F;Mahnken, Jonathan D;
Vol. 26 , No. 6 , pp. 2667-2680
417 views DOI Abstract
2017
Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions.
Lin, Li-An;Luo, Sheng;Chen, Bingshu E;Davis, Barry R;
Vol. 26 , No. 6 , pp. 2869-2884
392 views DOI Abstract
Journament Score
40.3/100 · Below Average
Ranked #2,173 of 29,297 scored
(34,015 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

40.3/100

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

31.0/100

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

72.2/100

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

51.0/100

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

0.0/100

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

85.3/100

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.