Translational Neurosurgery (eBook, ePUB)

Redaktion: Eltorai, Adam E. M.; Ahmad, Maleeha; Bakal, Jeffrey A.

• Format: ePub

Produktbeschreibung

Translational Neurosurgery provides a comprehensive overview reflecting the depth and breadth of the field of translational research focused on neurosurgery, with input from a distinguished team of basic and clinical investigators. It covers the principles of evidence-based medicine and applies these principles to the design of translational investigations, helping researchers navigate challenging considerations in study design and implementation. This book is a valuable resource for neurosurgeons and neurosurgery investigators who want to understand more about translational research, and also for basic scientists interested in translating their research into clinical practice. - Focuses on the principles of evidence-based medicine and applies these principles to the design of translational investigations within neurosurgery - Provides a practical, straightforward approach that helps investigators navigate challenging considerations in study design and implementation - Includes valuable discussions of the critical appraisal of published studies in translational neurosurgery and provides specific examples from the recent literature

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 608
• Erscheinungstermin: 18. November 2025
• Englisch
• ISBN-13: 9780323905237
• Artikelnr.: 75925977

Inhaltsangabe

Section 1: Introduction
1. Translational Process
2. Scientific Method
Section 2: Pre-Clinical
4. What problem are you solving?
5. Types of interventions
6. Drug testing
7. Device discovery and prototyping
8. Diagnostic testing
9. Artificial Intelligence
Section 3: Statistical Principles
10. Basic statistical principles
11. Distributions
12. Hypotheses and error types
13. Power
14. Continuous variable analyses
15. Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel
16. Analysis of variance
17. Correlation
18. Basic science statistics
19. Sample Size
20. Statistical Software
Section 4: Clinical: Study Types
21. Outcome measurements: What data is being collected and why?
22. Case series: Design, measures, classic example
23. Case-control study: Design, measures, classic example
24. Cross-section study: Design, measures, classic example
25. Longitudinal study: Design, measures, classic example
26. Meta-analysis: Design, measures, classic example
27. Qualitative methods and mixed methods
Section 5: Clinical Trials
28. Randomization and Multicentric Considerations in Clinical Trials
29. Nonrandomized Control
30. Historical Control
31. Study Types with Design, Measures, Classic Example
32. Blinding: Who and How?
33. Adaptive: Design, measures, classic example
34. Phase 0 Trials: Window of Opportunity
35. Registries, Phases of Clinical Trials, IDEAL Framework
Section 6: Regulatory Basics
36. FDA overview
37. IND
38. Devices
39. Radiation-emitting Electronic Products
40. Biologics
41. Combination Products
42. A Brief Overview of the FDAs Involvement in the Regulation of Dietary
Supplements
43. Cosmetics
44. CMC and GxP
45. Non-US regulatory
46. Post-Market Drug Safety Monitoring
47. Post-Market Device Safety Monitoring
Section 7: Public Health
48. Public Health
49. Epidemiology
50. Factors
51. Good Questions
52. Population- and Environmental-specific Considerations
53. Healthcare Institutions and Systems
54. Public Health Institutions and Systems
55. Presenting Data