Applied Biostatistics: Challenges and Opportunities

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 45

Special Issue Editors


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Guest Editor
Department of Production and Systems, ALGORITMI Center, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
Interests: applied statistics; biostatistics; computational statistics; ROC analysis; multivariate statistics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Centre of Mathematics, University of Minho, 4710-057 Braga, Portugal
Interests: statistics and its applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Due to the high complexity and dimension of the real world, the processing of data requires tools and methods capable of helping decision making.

Nowadays, health information is easier to capture and analyse than ever before given the developed data analytics. In the health sciences, biostatistics plays a central role in evaluating this data to better understand and tackle the health challenges that individuals and populations face across the globe.
This Special Issue aims to promote research works in computational statistics, scientific computation and applications in all areas of science involving a great volume of data or special datasets.

This Special Issue will focus on computational statistics, namely on new issues in the design of computational algorithms for implementing statistical methods, development in R, etc.; and applied biostatistics such as statistical case studies in all areas of science, including, medicine, biology, earth sciences and social sciences.

Topics of interest include (but are not limited to):

  • Statistical inference;
  • Statistical computing;
  • Biostatistics;
  • Reliability;
  • Survival analysis;
  • Design of experiments;
  • Multivariate analysis;
  • Nonparametric inference;
  • Statistical genetics;
  • Statistical quality control;
  • Survey sampling;
  • Computational Bayesian methods

This new Special Issue continues the previous Special Issue, “Applied Biostatistics & Statistical Computing”, which closed on 31 March 2024, including almost 10 valuable peer-reviewed papers. This issue continues to welcome scholars to contribute their new research.

Dr. Ana Cristina Braga
Dr. Cecília Castro
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • statistical inference
  • statistical computing
  • biostatistics
  • reliability
  • survival analysis
  • design of experiments
  • multivariate analysis
  • nonparametric inference
  • statistical genetics
  • statistical quality control
  • survey sampling
  • computational Bayesian methods

Related Special Issue

Published Papers

This special issue is now open for submission.
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