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Practical biostatistics in translati...
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Khakshooy, Allen M.
Practical biostatistics in translational healthcare
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Practical biostatistics in translational healthcare/ by Allen M. Khakshooy, Francesco Chiappelli.
Author:
Khakshooy, Allen M.
other author:
Chiappelli, Francesco.
Published:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2018.,
Description:
xviii, 227 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Biometry. -
Online resource:
http://dx.doi.org/10.1007/978-3-662-57437-9
ISBN:
9783662574379
Practical biostatistics in translational healthcare
Khakshooy, Allen M.
Practical biostatistics in translational healthcare
[electronic resource] /by Allen M. Khakshooy, Francesco Chiappelli. - Berlin, Heidelberg :Springer Berlin Heidelberg :2018. - xviii, 227 p. :ill. (some col.), digital ;24 cm.
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 & 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.
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.
ISBN: 9783662574379
Standard No.: 10.1007/978-3-662-57437-9doiSubjects--Topical Terms:
598268
Biometry.
LC Class. No.: QH323.5 / .K435 2018
Dewey Class. No.: 570.15195
Practical biostatistics in translational healthcare
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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 & 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.
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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.
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Medicine (Springer-11650)
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