Methods and Biostatistics in Oncology Understanding Clinical Research as an Applied Tool /
This 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 oncol...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Preface
- 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.