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Clinical epidemiology & evidence-based medicine : fundamental principles of clinical reasoning & research / David L. Katz.

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Electronic resources

Subject: Clinical epidemiology.
Evidence-based medicine.
Epidemiologic Methods.
Evidence-Based Medicine.
Genre: Electronic books.

Record details

  • ISBN: 9781452264318
  • ISBN: 1452264317
  • ISBN: 9781452232638
  • ISBN: 1452232636
  • Physical Description: 1 online resource (xxi, 295 pages) : illustrations
  • Publisher: Thousand Oaks, Calif. : Sage Publications, ©2001.

Content descriptions

Bibliography, etc. Note: Includes bibliographical references (pages 279-282) and index.
Formatted Contents Note: Principles of Clinical Reasoning -- Of Patients and Populations: Population-Based Data in Clinical Practice -- Test Performance: Disease Probability, Test Interpretation and Diagnosis -- Test Performance -- Disease Probability -- Test Interpretation -- Quantitative Aspects of Clinical Thinking: Predictive Values and Bayes' Theorem -- Application -- Alternative Applications -- Odds and Probabilities: Bayes' Theorem and Likelihood Ratios -- Implications of Bayes' Theorem for Diagnostic Testing -- Conceptual Factors Influencing Probability Estimates -- Bayes' Theorem and the Sequence of Testing -- Fundamentals of Screening: The Art and Science of Looking for Trouble -- Screening Defined -- Screening Criteria -- Statistical Considerations Pertinent to Screening -- Sequential Testing -- Statistics, Screening and Monetary Costs -- Statistics, Screening and Human Costs -- Screening Pros and Cons -- Measuring and Conveying Risk -- Measuring Risk to the Individual Patient -- Risk Factors -- Measuring Risk in Clinical Investigation -- Measuring Risk Modification -- Principles of Clinical Research -- Hypothesis Testing 1: Principles -- Association -- Variation -- Measuring Central Tendency: The Mean -- Measuring Dispersion: Variance and Standard Deviation -- Testing Hypotheses: The Signal to Noise Ratio -- Types of Clinical Data -- Characterizing Associations: Univariate, Bivariate, and Multivariate Methods -- Eliminating Alternative Explanations: The Threat of Confounding and Bias -- Hypothesis Testing 2: Mechanics -- Parametric Methods.
Summary, etc.: Written as a reference tool and resource for health care professionals, David L. Katz's primer uses clinical examples and extracts from peer-reviewed literature to show how statistical principles can improve medical decision making.
Source of Description Note: Print version record.
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