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Up from Clinical Epidemiology

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Cover of 'Up from Clinical Epidemiology & EBM'

Table of Contents

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    Book Overview
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    Chapter 1 On Leadership in Clinical Medicine
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    Chapter 2 On Medical Academia at Present
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    Chapter 3 Purported Essence of Clinical Research
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    Chapter 4 On Study of ‘Clinical Epidemiology’
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    Chapter 5 Up from ‘Clinical Epidemiology’ & EBM
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    Chapter 6 The Knowledge-Base of Clinical Medicine: Its Essence
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    Chapter 7 The Knowledge-Base of Clinical Medicine: Its Necessary Forms
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    Chapter 8 Codifying the Knowledge-Base of Expert Practice
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    Chapter 9 Enhancement of Practice by Clinical Research
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    Chapter 10 Introduction into Diagnostic Clinical Research
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    Chapter 11 Introduction into Etiognostic Clinical Research
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    Chapter 12 Introduction into Prognostic Clinical Research
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    Chapter 13 On EBM Guidelines for Assessment of Evidence
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    Chapter 14 Some Example Studies: Their Assessments
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    Chapter 15 The Predicates of Major Improvements
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    Chapter 16 Development of the Major Improvements
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    Chapter 17 Research for Further Improvements
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    Chapter 18 ‘Clinical Epidemiology’ & EBM as Set-Backs
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    Chapter 19 Some Elementary Concepts of Medicine, According to the Students
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    Chapter 20 On the Students’ Concepts, the Teacher’s Comments
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    Chapter 21 Assignments to the Students
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    Chapter 22 To the Assignments, the Teacher’s Responses
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    Chapter 23 More on Garnering Experts’ Tacit Knowledge
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    Chapter 24 An Industrial Perspective
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Title
Up from Clinical Epidemiology & EBM
Published by
Springer Netherlands, March 2011
DOI 10.1007/978-90-481-9501-5
ISBNs
978-9-04-819500-8, 978-9-04-819501-5
Authors

Miettinen, O. S.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Professor 2 10%
Student > Ph. D. Student 2 10%
Professor > Associate Professor 2 10%
Student > Master 2 10%
Unknown 12 60%
Readers by discipline Count As %
Medicine and Dentistry 7 35%
Computer Science 1 5%
Unknown 12 60%