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Journal of Biostatistics and Biometric Applications​ (JBBA) is an open access journal which focuses on new trends in Biostatistics and Biometrics by rapidly publishing high-level peer-reviewed articles ranging from basic fundamental areas that deal with biological measurements research to statistical and mathematical methods applicable to data analysis, human clinical trials evaluation, recognition of individuals, etc.

Journal of Biostatistics and Biometric Applications is using online manuscript submission, review and tracking systems for quality and quick review processing. Review processing is performed by the editorial board members of Journal of Biostatistics and Biometric Applications or outside experts; at least two independent reviewer's approval followed by editor approval is required for acceptance of any citable manuscript.

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    MEHMET CELENK

    Professor, School of Electrical Engineering and Computer Science, Ohio University, United States

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    MOHAMMAD YAMIN

    Professor, Department of Management Information Systems, King Abdulaziz University, Saudi Arabia

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    OSMAN BALCI

    Professor, Department of Computer Science, Virginia Polytechnic Institute and State University, United States

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    GONGPING YANG

    Professor, School of Computer Science and Technology, Shandong University, China

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    GEORGE BACIU

    Professor, Department of Computing, Hong Kong Polytechnic University, Hong Kong

Recent Articles

The Win Ratio and Novel Continuous Win Ratio and Win Difference Statistics with a Focus on Oncology Trials with Two Prioritized Outcomes

We study the win ratio in the context of oncology trials with the events of progression and death.

Author Name: Revathi Ananthakrishnan
PDF | Full Text | Journal of Biostatistics and Biometric Applications
Spatial Analytics Techniques: Concepts and Importance

Spatial analysis is an essential component of Geographic Information Systems (GIS) and is widely used for various purposes

Author Name: Karim Ennouri
PDF | Full Text | Journal of Biostatistics and Biometric Applications
Factors Affecting Time to Return to a Normal Level of Hba1c Among Diabetes Mellitus Patients at Hawassa University Comprehensive Specialized Hospital, Hawassa, Ethiopia

This study aims to fill the information gap on factors affecting time to return to normal HbA1c level and expected survival times in Ethiopia, as studies on these aspects are scarce, particularly in diabetic patients.

Author Name: Melisew W Wuchew
PDF | Full Text | Journal of Biostatistics and Biometric Applications
Prediction of the Soil-Water Distribution Coefficient from Theoretical Derived Molecular Descriptors

In this work an artificial neural network (ANN) was constructed and trained for the prediction of the soil organic carbon to water distribution coefficients of some aliphatic and aromatic hydrocarbons and benzene derivatives based on quantitative structure- property relationships approaches. The inputs of this network are theoretically derived descriptors, which were chosen by the stepwise multiple linear regression (MLR) variables selection techniques

Author Name: Mohammad Hossein Fatemi
PDF | Full Text | Journal of Biostatistics and Biometric Applications
Type1 Heavy-Tailed Mixture Cure Rate Survival Model Based on a Variant of T-X Family of Distribution as Baseline

In this research work, a new class of heavy-tailed mixture cure rate models; Type 1 Heavy-Tailed Gamma (T1HT-G) mixture cure rate model was introduced using a new class of heavy-tailed distributions; Type 1 Heavy-Tailed Gamma (T1HT-G) distribution as baseline.

Author Name: Ligeiaziba sylva
PDF | Full Text | Journal of Biostatistics and Biometric Applications
Trends and Day-of-the-Week Effects Decomposition in the Mean and Dispersion in the Number of Subjects Testing Positive for COVID-19 in the UK in 2020

COVID-19 pandemic is a global threat, where the rate of infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) increases exponentially, and the spread of the virus from person to person is very fast

Author Name: Abdelmajid Djennad
PDF | Full Text | Journal of Biostatistics and Biometric Applications
Radiomics, PET-PSMA and Machine Learning for Intraprostatic Cancer Diagnosis

Prostate cancer (Pca) is the second most prevalent malignant neoplasia in man, just after non-melanoma skin cancer. Today, prostate biopsy for tissue sampling is still the gold standard for its diagnosis

Author Name: Freitas DMO
PDF | Full Text | Journal of Biostatistics and Biometric Applications
Artificial EMG by WLAN-Exposure

By a diagnostic routine of a “burn-out”-patient, additionally claiming an electrosensitivity, there was tested the nervous system by electromyogram (EMG), recording from the lower arm skin surface.

Author Name: Von Klitzing L
PDF | Full Text | Journal of Biostatistics and Biometric Applications