SMART Approach to Spine Clinical Research
eBook - PDF

SMART Approach to Spine Clinical Research

  1. 208 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

The SMART Approach to Spine Clinical Research is a must-have guide for spine care professionals seeking to make a meaningful contribution to the scientific literature and advance their careers by publishing high-quality clinical research.

Planning, conducting, and publishing the results of your clinical research can be a long and arduous journey. The SMART Approach to Spine Clinical Research presents and explains the many interrelated components essential to spine clinical research in an easily accessible way, guiding you step-by-step through the principles and methods of planning and evaluating clinical research. With a special focus on bias reduction and spine-related case examples, this SMART approach represents those essential components:

  • Study question
  • Searching the literature
  • Study design
  • Measurements
  • Analysis
  • Resources and funding
  • Timing

Also addressed in the book are special topics such as getting your manuscript published and conducting a meta-analysis. This SMART approach provides a clear and simple road map for the planning, execution, and critical appraisal of clinical research.

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Yes, you can access SMART Approach to Spine Clinical Research by Michael J. Lee,Daniel C. Norvell,Joseph R. Dettori,Andrea C Skelly,Jens Chapman in PDF and/or ePUB format, as well as other popular books in Medicine & Orthopedics. We have over one million books available in our catalogue for you to explore.

Information

Edition
1
Subtopic
Orthopedics

Table of contents

  1. SMART Approach to Spine Clinical Research
  2. Title Page
  3. Copyright
  4. Contributors
  5. Preface
  6. Foreword/Acknowledgments
  7. Table of Contents
  8. 1 SMART-B: overview of study conceptualization and planning
  9. 2 Constructing a SMART study question
  10. 3 Constructing a SMART literature search
  11. 4 Importance and implications of study design selection
  12. 5 Measurements: the backbone of the study
  13. 6 Analysis: basic statistical methods and principles
  14. 7 Resources and Timing
  15. 8 Bias reduction: how to avoid spurious conclusions
  16. 9 Special topics
  17. Glossary of terms and abbreviations