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Survival Analysis: Models and Applications

Special Issue Information

Dear Colleagues,

I am pleased to announce a Special Issue on “Survival Analysis: Models and Applications”. Survival analysis has a broad range of applications in fields that deal with time-to-event data, such as public health, engineering, biomedical science, actuarial science, and environmental science. This Special Issue will present a collection of the latest developments in survival models and their applications to new subject-matter challenges. Suitable topics include, but are not limited to, flexible but interpretable regression models, Bayesian survival models, spatial survival models, competing risk models, cure rate models, discrete survival models, methods for analyzing data in non-standard settings, and software development. Manuscripts that apply state-of-the-art survival models to new and ongoing real-world problems (e.g., the COVID-19 epidemic) are especially welcome.

I look forward to receiving your submissions. 

Sincerely, 

Dr. Haiming Zhou
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Stats is an international peer-reviewed open access quarterly 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 1600 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

  • survival analysis
  • Bayesian inference
  • spatial models
  • censoring
  • regression models
  • competing risks
  • cure fraction

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Published Papers

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Stats - ISSN 2571-905X