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Practical Biostatistics in Translational Healthcare / by Allen M. Khakshooy, Francesco Chiappelli.

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Springer Nature - Springer Medicine eBooks 2018 English International Available online

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Format:
Book
Author/Creator:
Khakshooy, Allen M, author.
Chiappelli, Francesco, author.
Contributor:
SpringerLink (Online service)
Language:
English
Subjects (All):
Dentistry.
Medicine.
General practice (Medicine).
Nursing.
Medicine & Public Health.
General Practice / Family Medicine.
Local Subjects:
Medicine & Public Health.
General Practice / Family Medicine.
Dentistry.
Nursing.
Physical Description:
1 online resource (XVIII, 227 pages 127 illustrations, 62 illustrations in color)
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
There is an ever-increasing emphasis on evidence-based medicine that is distinguished by systematic crafting of the patient-centered research question, detailed literature searches, and careful appraisal of the resulting evidence. The consensus that ultimately emerges must then be applied in specific clinical settings, and it is to this process that translational effectiveness analysis refers. This portable and easy-to-use handbook is intended as a practical teaching guide on translational effectiveness for students and clinicians. Specifically, it will serve as a primer on patient-centered outcomes research methodology in the health sciences and explain how to acquire and understand the fundamental data that determine which reports are valued as the “best available” evidence. It presents an accessible and readily intelligible set of principles which doctors, dentists, nurses, and insurance carriers will be able to use in the process of health care-related decision-making.
Contents:
Patient-Centered Outcomes Research: Methodology Issues: Realistic deliverable outcomes in Practice-based research networks
Design Issues: Randomized clinical trials vs. Clustered randomized clinical trials
Analysis issues: Patient-centered vs. group data analyses and inferences. Bayesian-ism vs. Frequentist-ism in CEERAP: Data and measurements
Diagnostic and prognostic inferences
Quantifying the best evidence. Toward TEA: Acceptable sampling
Meta-analysis
Validating inferences of clinical relevance.
Other Format:
Printed edition:
ISBN:
9783662574379
Access Restriction:
Restricted for use by site license.

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