Special Issue "New Sights in Cancer Survival Analysis: Non-clinical Determinants of Survival for Patients with Cancer"
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 4653
Almost all research on prognostic factors for cancers focuses on intrinsic factors related to the disease or the individual. However, many extrinsic factors also have a strong influence on the chances of survival of patients: their social environment, the place where they are treated, the organization of the health system. The analysis of these factors requires unbiased quality data and adapted statistical analysis models. A good understanding of these factors in general explanatory models and their integration into well-conducted interventional research protocols would allow the implementation of an evidence-based public health policy. This Special Issue of the journal illustrates the importance of non-clinical prognostic factors through several examples from population-based studies. It also brings together the general concepts and explanatory models allowing a general understanding of the mechanisms of social determination of cancer prognosis as well as several conceptual frameworks which are particularly relevant for probing a chronic, multifactorial disease such as cancer.
Prof. Dr. Guy Launoy
Manuscript Submission Information
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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. Cancers 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.
- contextual effect
- socioeconomic factors
- multilevel analysis
- center effect
- population-based studies
- hierarchical-structured data
- aggregated data