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Evidence-Based Diagnosis by Thomas B. Newman and Michael A. Kohn (2009, Trade Paperback)
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EVIDENCE-BASED DIAGNOSIS (CAMBRIDGE MEDICINE ()) By Thomas B. Newman & Michael A. Kohn **Mint Condition**.
- Buy It NowEVIDENCE-BASED DIAGNOSIS (CAMBRIDGE MEDICINE ()) By Thomas B. Newman & Michael
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-100521714028
ISBN-139780521714020
eBay Product ID (ePID)71113111
Product Key Features
Number of Pages312 Pages
Publication NameEvidence-Based Diagnosis
LanguageEnglish
Publication Year2009
SubjectClinical Medicine, Pathophysiology, Diagnosis, Evidence-Based Medicine, Epidemiology
TypeTextbook
AuthorThomas B. Newman, Michael A. Kohn
Subject AreaMedical
FormatTrade Paperback
Dimensions
Item Height0.7 in
Item Weight19.7 Oz
Item Length9.9 in
Item Width7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2008-044178
Reviews'This is a book on diagnostic testing aimed at an audience of clinicians, with those of an academic interest in focus, but it should also be of great value for anyone with an interest of practical applications of evidence-based medicine … The book has an appealing pedagogical touch and shows that the authors have a long experience as teachers … For those with basic knowledge of statistics, this is an excellent follow-up and in-depth continuation into applications on diagnostic tests and treatment effect analysis.' Lennart Bodin, European Journal of Public Health, 'The amazing part is that the authors explain complex concepts with minimal math, to avoid frustrating the novice clinician … For those with a basic level of knowledge, this is an excellent resource to enhance and expand your understanding of diagnostic testing and its applications in trials.' Abhinav Chandra, Academic Emergency Medicine, "This excellent new textbook thoroughly explains all aspects of a reasoned approach to diagnostic decision making... Evidence-Based Diagnosis should now become the definitive text for this corner of the evidence-based medicine library. It teaches the skills necessary to adopt a thoroughly reasoned diagnostic approach, and although aimed at academicians, it is written so that it can and should be used by a broader audience of trainees and clinicians." Michael J. Steiner, Academic Pediatrics 2010; 10(1):75, "The book has an appealing pedagogical touch and shows that the authors have a long experience as teachers. This is reflected in the selection of applications, case studies and the problems adapted for self-studies, with solutions supplied at the end of the book." European Journal of Public Health, "This is a book on diagnostic testing aimed at an audience of clinicians, with those of an academic interest in focus, but it should also be of great value for anyone with an interest of practical applications of evidence-based medicine... The book has an appealing pedagogical touch and shows that the authors have a long experience as teachers... For those with basic knowledge of statistics, this is an excellent follow-up and in-depth continuation into applications on diagnostic tests and treatment effect analysis." Lennart Bodin, European Journal of Public Health 2009;20(1):120, "The authors apply years of experience in both the clinic and classroom to address a broad clinical audience. The book is geared toward residents, fellows, and junior faculty, although students could make use of it early in their evidence-based medicine training...Topics covered range from common terms in evidence-based medicine -- sensitivity, specificity, and positive and negative predictive values -- to those less thoroughly addressed by some resources in the field, such as measures of reliability, likelihood ratios, and propensity scores. The authors provide many illustrative, clinically relevant examples and sample problems, along with a detailed answer key...The format will appeal most strongly to readers interested in the statistical underpinnings of evidence-based diagnosis." Doody's Review Service, " The amazing part is that the authors explain complex concepts with minimal math, to avoid frustrating the novice clinician... For those with a basic level of knowledge, this is an excellent resource to enhance and expand your understanding of diagnostic testing and its applications in trials." Abhinav Chandra, Academic Emergency Medicine 2010;17(6):e51, 'This is a book on diagnostic testing aimed at an audience of clinicians, with those of an academic interest in focus, but it should also be of great value for anyone with an interest of practical applications of evidence-based medicine ... The book has an appealing pedagogical touch and shows that the authors have a long experience as teachers ... For those with basic knowledge of statistics, this is an excellent follow-up and in-depth continuation into applications on diagnostic tests and treatment effect analysis.' Lennart Bodin, European Journal of Public Health, 'This excellent new textbook thoroughly explains all aspects of a reasoned approach to diagnostic decision making ... Evidence-Based Diagnosis should now become the definitive text for this corner of the evidence-based medicine library. It teaches the skills necessary to adopt a thoroughly reasoned diagnostic approach, and although aimed at academicians, it is written so that it can and should be used by a broader audience of trainees and clinicians.' Michael J. Steiner, Academic Pediatrics, 'The amazing part is that the authors explain complex concepts with minimal math, to avoid frustrating the novice clinician ... For those with a basic level of knowledge, this is an excellent resource to enhance and expand your understanding of diagnostic testing and its applications in trials.' Abhinav Chandra, Academic Emergency Medicine, 'This excellent new textbook thoroughly explains all aspects of a reasoned approach to diagnostic decision making … Evidence-Based Diagnosis should now become the definitive text for this corner of the evidence-based medicine library. It teaches the skills necessary to adopt a thoroughly reasoned diagnostic approach, and although aimed at academicians, it is written so that it can and should be used by a broader audience of trainees and clinicians.' Michael J. Steiner, Academic Pediatrics, "The authors apply years of experience in both the clinic and classroom to address a broad clinical audience. The book is geared toward residents, fellows, and junior faculty, although students could make use of it early in their evidence-based medicine training...Topics covered range from common terms in evidence-based medicine -- sensitivity, specificity, and positive and negative predictive values -- to those less thoroughly addressed by some resources in the field, such as measures of reliability, likelihood ratios, and propensity scores. The authors provide many illustrative, clinically relevant examples and sample problems, along with a detailed answer key...The format will appeal most strongly to readers interested in the statistical underpinnings of evidence-based diagnosis." --Doody's Review Service
Dewey Edition22
IllustratedYes
Dewey Decimal616.07/5
Table Of Content1. Introduction: understanding diagnosis and diagnostic testing; 2. Reliability and measurement error; 3. Dichotomous tests; 4. Multilevel and continuous tests; 5. Critical appraisal of studies of diagnostic tests; 6. Screening tests; 7. Prognostic tests and studies; 8. Multiple tests and multivariable decision rules; 9. Quantifying treatment effects using randomized trials; 10. Alternatives to randomized trials for estimating treatment effects; 11. Understanding P-values and confidence intervals; 12. Challenges for evidence-based diagnosis.
SynopsisEvidence-Based Diagnosis explains diagnostic, screening, and prognostic tests in clinical medicine, and is of great use to anyone looking to select, develop, or apply medical tests. The book includes numerous worked examples and 60 problems (with answers) based on real clinical situations and journal articles., Evidence-Based Diagnosis is a textbook about diagnostic, screening, and prognostic tests in clinical medicine. The authors' approach is based on many years of experience teaching physicians in a clinical research training program. Although requiring only a minimum of mathematics knowledge, the quantitative discussions in this book are deeper and more rigorous than in most introductory texts. The book includes numerous worked examples and 60 problems (with answers) based on real clinical situations and journal articles. The book will be helpful and accessible to anyone seeking to select, develop, or market medical tests. Topics covered include: the diagnostic process, test reliability and accuracy, likelihood ratios, and ROC curves, testing and treatment thresholds, critical appraisal of studies of diagnostic, screening and prognostic tests, test independence and methods of combining tests, quantifying treatment benefits using randomized trials and observational studies, Bayesian interpretation of P values and confidence intervals and challenges for evidence-based diagnosis and evidence-based medicine., Evidence-Based Diagnosis explains diagnostic, screening, and prognostic tests in clinical medicine. The authors' approach is based on many years of experience teaching physicians in a clinical research training program. Although needing only a minimum of mathematics, the quantitative discussions in this book are deeper and more rigorous than in most introductory texts. The book includes numerous worked examples and 60 problems (with answers) based on real clinical situations and journal articles. This book is a great choice for anyone looking to select, develop, or apply medical tests. Topics covered include: the diagnostic process; test reliability and accuracy; testing and treatment thresholds; critical appraisal of studies of diagnostic, screening and prognostic tests; test independence and methods of combining tests; quantifying treatment benefits using randomized trials and observational studies; Bayesian interpretation of P values and confidence intervals; challenges for evidence-based diagnosis; likelihood ratios and ROC curves.
LC Classification NumberRC71.3.N49 2009
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