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    Beszerezhetőség

    Még nem jelent meg, de rendelhető. A megjelenéstől számított néhány héten belül megérkezik.

    Why don't you give exact delivery time?

    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    A termék adatai:

    • Kiadó Elsevier Science
    • Megjelenés dátuma 2026. február 1.

    • ISBN 9780323905329
    • Kötéstípus Puhakötés
    • Terjedelem610 oldal
    • Méret 276x216 mm
    • Nyelv angol
    • 700

    Kategóriák

    Hosszú leírás:

    Translational research is essential to the advancement of medicine. Thisï¿1⁄2Cardiothoracic-specific instructional guide to translational medical research serves as a practical, step-by-step roadmap for taking a biomedical device, potential therapeutic agent, or research question from idea through demonstrated clinical benefit. Fundamentally, the volume aims to help bridge the gap between current research and practice. Written by a team of expert medical, biomedical engineering, and clinical research experts inï¿1⁄2cardiothoracic surgery,ï¿1⁄2thisï¿1⁄2volume provides a clear process for understanding, designing, executing, and analyzing clinical and translational researchï¿1⁄2within the field.

    Több

    Tartalomjegyzék:

    PRE-CLINCIAL: DISCOVERY & DEVELOPMENT
    1. Defining the problem to solve
    2. Types of problems
    3. Drug discovery
    4. Device discovery
    5. Device classification
    6. Other product types
    7. Drug safety
    8. Device prototyping
    9. Device testing

    CLINICAL: FUNDAMENTALS
    10. Introduction to clinical research: What is it? Why is it needed?
    11. The question: Types of research questions and how to develop them
    12. Study population: Who and why them?
    13. Outcome measurements: What data is being collected and why?

    STATISTICAL PRINCIPLES
    14. Presenting data
    15. Common issues in analysis
    16. Basic statistical principles
    17. Distributions
    18. Hypotheses and error types
    19. Power
    20. Regression
    21. Continuous variable analyses: t-test, Man Whitney, Wilcoxin rank
    22. Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel
    23. Analysis of variance
    24. Correlation
    25. Biases
    26. Basic science statistics
    27. Sample forms and templates

    CLINICAL: STUDY TYPES
    28. Design principles: Hierarchy of study types
    29. Case series: Design, measures, classic example
    30. Case-control study: Design, measures, classic example
    31. Cohort study: Design, measures, classic example
    32. Cross-section study: Design, measures, classic example
    33. Clinical trials: Design, measures, classic example
    34. Meta-analysis: Design, measures, classic example
    35. Cost-effectiveness study: Design, measures, classic example
    36. Diagnostic test evaluation: Design, measures, classic example
    37. Reliability study: Design, measures, classic example
    38. Database studies: Design, measures, classic example
    39. Surveys and questionnaires: Design, measures, classic example
    40. Qualitative methods and mixed methods

    CLINICAL TRIALS
    41. Randomized control: Design, measures, classic example
    42. Nonrandomized control: Design, measures, classic example
    43. Historical control: Design, measures, classic example
    44. Cross-over: Design, measures, classic example
    45. Withdrawal studies: Design, measures, classic example
    46. Factorial design: Design, measures, classic example
    47. Group allocation: Design, measures, classic example
    48. Hybrid design: Design, measures, classic example
    49. Large, pragmatic: Design, measures, classic example
    50. Equivalence and noninferiority: Design, measures, classic example
    51. Adaptive: Design, measures, classic example
    52. Randomization: Fixed or adaptive procedures
    53. Blinding: Who and how?
    54. Multicenter considerations
    55. IDEAL Framework

    CLINICAL: PREPARATION
    56. Optimizing the question: Balancing significance and feasibility
    57. Meaningful outcome measurements
    58. Sample size
    59. Budgeting
    60. Ethics and review boards
    61. Regulatory considerations for new drugs and devices
    62. Funding approaches
    63. Subject recruitment
    64. Data management
    65. Quality control
    66. Report forms: Harm and Quality of Life
    67. Subject adherence
    68. Survival analysis
    69. Monitoring committee in clinical trials

    REGULATORY
    70. FDA overview
    71. New drug application
    72. Device pathways
    73. Non-US regulatory
    74. Post-Market Drug Safety Monitoring
    75. Post-Market Device Safety Monitoring

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