Home›Search›JP JOURNAL OF BIOSTATISTICS

JP JOURNAL OF BIOSTATISTICS

PUSHPA PUBLISHING HOUSE · IN

ISSN0973-5143eISSN0973-5143

✓ WOS ESCI

/ 100

High Risk

Score Breakdown

✓ WoS ESCI+10

Total10

Journal Impact Factor

This journal is indexed in Web of Science (JCR) and has an official Journal Impact Factor. View on Clarivate Master Journal List ↗

Aims & Scope✦ Inferred from recent articles

This journal publishes research on the application of statistical and machine learning methods to analyze and predict health outcomes and disease progression. Articles focus on areas such as infectious diseases, chronic conditions, and rare disorders, utilizing techniques like time-series analysis, regression models, and various machine learning algorithms. The scope also includes the development and evaluation of statistical measures and models for diagnostic testing and data analysis in the presence of uncertainty.

AI-summarised from recent articles · verify on the publisher page

General Information

Country / RegionIN

Primary LanguageEnglish

1st Year Published—

StatusActive

Total Publications—

Submission Info

Peer Review—

Review Time—

Acceptance Rate—

OA License—

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

4/12 · 33%

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Do you know the journal / publisher?

PUSHPA PUBLISHING HOUSE

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Does the journal have a website?

No URL

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Is the ISSN verified?

0973-5143 / 0973-5143

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Indexed in a trusted database?

N/A

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Peer review process documented?

N/A

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Follows ethical publishing standards (COPE)?

N/A

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APC fees clearly disclosed?

N/A

✅

Not on predatory/blacklists?

✓ Clean

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Long-term digital preservation?

N/A

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Plagiarism detection in place?

N/A

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Listed in DOAJ (verified OA)?

N/A

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Web of Science Categories

Statistics & Probability

Research Topics (OpenAlex)

Artificial Intelligence in HealthcareCOVID-19 epidemiological studiesCOVID-19 diagnosis using AIHealthcare Systems and Public HealthStatistical Methods and Bayesian InferenceNeural Networks and ApplicationsChild Nutrition and Water AccessAdvanced Statistical Methods and ModelsMosquito-borne diseases and controlHIV/AIDS Impact and Responses