Practical Biostatistics in Translational Healthcare

AvAllen M. Khakshooy,Francesco Chiappelli

Häftad, Engelska, 2019

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2019-02-01
Mått:178 x 254 x 14 mm
Vikt:474 g
Format:Häftad
Språk:Engelska
Antal sidor:227
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783662585979

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Mer om författaren

Allen M. Khakshooy, MPH MDc was recognized as the youngest appointed faculty member in his graduate department due to his comprehensive understanding and effective teaching of Biostatistics to future Healthcare professionals. As a beneficiary of Dr. Chiappelli’s teachings, he concurrently gained substantial experience in clinical research, translational science, and evidence-based medicine, espoused by his research publications and book chapter authorships. Mr. Khakshooy is currently in pursuit of his medical doctorate. Professor Francesco Chiappelli, Ph.D. has contributed extensively to the development of the field of evidence-based and comparative effectiveness decision-making in health care over the past several years through his teaching, research publications, and authorship of several book chapters and books. Professor Chiappelli is the founder and director of the International Forum on evidence-based decisions and comparative effectivenessresearch (IF-EBD-CER), and is the honorary president of the Brazilian Association for Evidence-based dentistry. He is a American Dental Association Champion of evidence-based dentistry, and he is listed as a Fulbright Specialists for his expertise in evidence-based and comparative effectiveness analysis in health care.

Innehållsförteckning

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.