Full Description
Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making provides a compendium of biomarkers based methodologies for respective health related fields and health related marker-specific biostatistical techniques. The book introduces correct and efficient testing mechanisms, including procedures based on bootstrap and permutation methods with the aim of making these techniques assessable to practical researchers. In the biostatistical aspect, it describes how to correctly state testing problems, but it also includes novel results, which have appeared in current statistical publications.
In addition, the book discusses also modern applied statistical developments that consider data-driven techniques, including empirical likelihood methods and other simple and efficient methods to derive statistical tools for use in health related studies.
Contents
Part 1: Measure of Health via Biomarkers
1. Emergence of Modern Biomarkers based Developments in Health Studies
2. Cancer studies in light of advances in Biomarkers developments
3. Is Body Fat the Best Measure of Health?
Part 2: Designing health investigations and their implementations
4. Topic: Pooling
5. Topic: Reproductive/perinatal epidemiology, epidemiologic methods
Part 3: Special topics in Modern Epidemiology
6. Biomarkers use in Modified Risk Tobacco Products
7. Collider stratification bias due to censoring in prospective cohort studies
8. Roles of Biomarkers in breast cancer research and treatment
Part 4: Biostatistical Toolkits to evaluate Health related Markers
9. Topics: Biomarkers data analysis and decision making mechanisms based on data subject to different sorts of measuring errors; Parametric and nonparametric procedures for biomarkers evaluations
Part 5: Clinical Trials: practices and applications
10. Phase 1
11. Phase 2
Part 6: Genetic Markers
12. Biomarkers
13. Molecular Biomarkers
14. Cancer Biomarkers
15. Cancer epidemiology and biomarkers
16. Immuno oncology biomarkers
17. Biomarkers for the prognosis of cancer and prediction of treatment
18. Use of biomarkers for developing drug targets
19. Biomarkers and diseases
20. Biomarkers and Next-Generation Sequencing
21. Biomarkers and Radiology
22. Advances of Biomarker statistical evaluations
23. Clinical Applications of Biomarkers
