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Analytics and Modelling Clinical Data Using Advanced Biostatistical Methods
Topic Information
Dear Colleagues,
We are inviting submissions to the Topic entitled “Analytics and Modelling Clinical Data Using Advanced Biostatistical Methods” in JCM, IJERPH, Cancers, Viruses, COVID and Biomedicines, devoted to the application of advanced biostatistical methods in the broad area of clinical research, including mental health. Rapid advancements in clinical research through the use of modern digital technologies have created new challenges and opportunities for statisticians. For example, clinical big data, the detection and treatment of rare diseases, statistical inference in interventions and observational studies and many other emerging clinical research areas have motivated researchers worldwide to develop and apply cutting-edge statistical methods and analytical approaches. The aim of this Topic is to stimulate the dissemination of information in the wider area of clinical research in order to improve the effectiveness and competence of public health interventions to improve the overall health outcomes of populations worldwide using cutting-edge modelling approaches. Statistical methods have a long history of being applied in multifaceted health research to investigate critical health-related issues, including assessment of innovative intervention as well as disease control and global health awareness. In this process, many revolutions in statistical procedures have risen and aptly applied in across disciplines. Therefore, this Topic seeks the submission of scientific articles relevant to clinical research, from different areas of the field of health, and will assemble them into issues that improve our awareness and understanding of public health problems, including mental health, and will provide solutions through the evaluation of real-life data using latest statistical methods. One of the focuses of this Topic is to capture the current scenario of COVID-19 and its impact on global health going forward. The contribution of any clinical research into COVID-19 and its impact on mental health will be highly appreciated.
This Special Issue welcomes submissions of original research in the following areas:
- Mental health;
- Behavioural analysis;
- Clinical nursing;
- Health data modelling;
- COVID-19;
- Epidemiology and public health;
- Clinical psychology;
- Women’s health and policy;
- Sustainable development goals;
- Health economics;
- Health education;
- eHealth;
- Heath technology;
- Infectious diseases;
- Non-communicable diseases;
- Oncology;
- Big data;
- Biostatistics;
- Biomedical research.
We are happy to announce this Topic, entitled “Modelling Clinical Data using Advanced Biostatistical Methods” in JCM, IJERPH, Cancers, Viruses, COVID and Biomedicines, and look forward to receiving your submissions.
Dr. Jahar Bhowmik
Dr. Raaj Kishore Biswas
Topic Editors
Keywords
- mental health
- addictive behaviour
- epidemiology
- cancer
- smoking
- public health
- clinical nursing
- biostatistics
- epidemiology
- sustainable development goals
- COVID-19
- infectious diseases
- non-communicable diseases
- women’s health
- interpersonal violence
- older adults
Participating Journals
Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC |
---|---|---|---|---|---|
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Biomedicines
|
3.9 | 5.2 | 2013 | 14.6 Days | CHF 2600 |
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Cancers
|
4.5 | 8.0 | 2009 | 17.4 Days | CHF 2900 |
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COVID
|
- | - | 2021 | 20.3 Days | CHF 1000 |
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International Journal of Environmental Research and Public Health
|
- | 7.3 | 2004 | 25.8 Days | CHF 2500 |
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Journal of Clinical Medicine
|
3.0 | 5.7 | 2012 | 16 Days | CHF 2600 |
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Viruses
|
3.8 | 7.3 | 2009 | 17.1 Days | CHF 2600 |
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