E BOOK Clinical Epidemiology The Essentials (Lippincott Connect) 6th Edition by Grant S. Fletcher MD MPH
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E BOOK Clinical Epidemiology The Essentials (Lippincott Connect) 6th Edition by Grant S. Fletcher MD MPH

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703
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10.98 MB
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Digital PDF
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eBook[PDF]
About this ebook
The Clinical Epidemiology: The Essentials (6th Edition) by Grant S. Fletcher, MD, MPH (published by Wolters Kluwer / Lippincott Connect) covers the core principles of evidence-based medicine and clinical observation. [1]
The book is structured into the following primary chapters and core topics: [1, 2]
Core Chapters & Topics Covered
  • Introduction: Focuses on framing clinical questions, the scientific basis for clinical medicine, and understanding health outcomes.
  • Frequency: Exploring how often a disease occurs within populations and basic epidemiological measures of disease frequency.
  • Abnormality: Criteria for defining what is "abnormal" versus "normal," types of clinical data (nominal, ordinal, interval), and data distributions (e.g., normal distribution).
  • Risk (Basic Principles, Exposure to Disease, and From Disease to Exposure): Covers risk factors, cohort studies, and case-control studies.
  • Prognosis: Evaluating the natural history and prediction of clinical outcomes over time.
  • Diagnosis: How to evaluate diagnostic and screening tests, simplify clinical data, and interpret test performance (such as sensitivity, specificity, and predictive values).
  • Treatment: Assessing the effectiveness of clinical interventions, focusing heavily on randomized controlled trials (RCTs).
  • Prevention: Concepts regarding primary, secondary, and tertiary prevention, alongside evaluating screening programs.
  • Chance: Dealing with statistical variation, sampling errors, p-values, and confidence intervals.
  • Cause: Determining true causal relationships versus random association or confounding factors in clinical research.
  • Summarizing the Evidence: Principles of systematic reviews and meta-analyses.
  • Knowledge Management: Best practices for clinicians to effectively find, evaluate, filter, and apply medical literature to patient care. [1, 2, 3, 4, 5]

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causal relationships versus random association epidemiological measures of disease frequency interpret test performance Knowledge Management prediction of clinical outcomes over time randomized controlled trials RCTs Summarizing the Evidence
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