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020 _a9783319713243
024 7 _a10.1007/978-3-319-71324-3
_2doi
040 _bspa
_dES-VaUE
050 4 _aRC270.4
_b.M48 2018 EB
245 1 0 _aMethods and Biostatistics in Oncology :
_bUnderstanding Clinical Research as an Applied Tool
_cedited by Raphael. L.C Araújo, Rachel P. Riechelmann.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2018.
300 _aXII, 348 p. 58 illus., 37 illus. in color.
_bonline resource.
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 _aMedicine (Springer-11650)
505 0 _aPreface -- Introduction -- 1. Background of scientific method in oncology -- 2. Writing a hypothesis for a oncology study -- 3. Type of variables and distributions -- 4. Testing measures of association -- 5. Sample size calculation for oncology trials -- 6. Uni and multivariate analysis (understanding of regressions) in cancer research -- 7. Survival analyses in cancer trials -- 8. The role of transversal and cohort studies in oncology -- 9. Design of retrospective and case-control studies in oncology -- 10. Minimizing differences by randomization -- 11. How to design phase I trials in oncology -- 12. The many different designs of phase II oncology trials -- 13. Superiority and non-inferiority phase III oncology trials -- 14. Phase IV oncology trials -- 15. Analysis of graphs in clinical cancer research -- 16. Identifying biases in clinical cancer research -- 17. Ethics in clinical cancer research -- 18. Cost-effectiveness studies in oncology -- 19. How to undertake outcomes research in oncology -- 20. Systematic review and meta-analysis of oncology studies -- 21. Meta-research in oncology -- 22. Analysis of quality of life and patient-reported outcomes in oncology -- Exercises -- Commented answers -- Glossary -- Remissive index.
520 _aThis book introduces and discusses the most important aspects of clinical research methods and biostatistics for oncologists, pursuing a tailor-made and practical approach. Evidence-based medicine (EBM) has been in vogue in the last few decades, particularly in rapidly advancing fields such as oncology. This approach has been used to support decision-making processes worldwide, sparking new clinical research and guidelines on clinical and surgical oncology. Clinical oncology research has many peculiarities, including specific study endpoints, a special focus on survival analyses, and a unique perspective on EBM. However, during medical studies and in general practice, these topics are barely taught. Moreover, even when EBM and clinical cancer research are discussed, they are presented in a theoretical fashion, mostly focused on formulas and numbers, rather than on clinical application for a proper literature appraisal. Addressing that gap, this book discusse s more practical aspects of clinical research and biostatistics in oncology, instead of relying only on mathematical formulas and theoretical considerations. Methods and Biostatistics in Oncology will help readers develop the skills they need to understand the use of research on everyday oncology clinical practice for study design and interpretation, as well to demystify the use of EBM in oncology.
653 0 _aOncology  .
653 0 _aStatistical methods.
653 0 _aOncology.
700 1 _aAraújo, Raphael. L.C.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRiechelmann, Rachel P.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
_9106996
776 0 8 _iPrinted edition:
_z9783319713236
776 0 8 _iPrinted edition:
_z9783319713250
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-71324-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
998 _db
_feng
_ggw
_h0