Norvell / Lee / Dettori SMART Approach to Spine Clinical Research

1. Auflage 2013
ISBN: 978-3-13-175071-6
Verlag: Thieme
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 208 Seiten, PDF, Format (B × H): 230 mm x 300 mm

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 questionSearching the literatureStudy designMeasurementsAnalysisResources and fundingTimingAlso 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.

Zielgruppe

Ärzte

Autoren/Hrsg.

Norvell, Daniel C.

Lee, Michael J.

Dettori, Joseph R.

Skelly, Andrea C

Chapman, Jens

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Chirurgie Neurochirurgie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Chirurgie Orthopädie- und Unfallchirurgie

Inhaltsverzeichnis

1 SMART-B: overview of study conceptualization and planning 2 Constructing a SMART study question 3 Constructing a SMART literature search 4 Importance and implications of study design selection 5 Measurements: the backbone of the study 6 Analysis: basic statistical methods and principles 7 Resources and timing 8 Bias reduction: how to avoid spurious conclusions 9 Special topics