Gordis Epidemiology

Höfundur David D Celentano; Moyses Szklo; Youssef Farag

Útgefandi Elsevier Limited (UK)

Snið ePub

Print ISBN 9780323877756

Útgáfa 7

Útgáfuár 2024

5.490 kr.

Description

Efnisyfirlit

  • Instructions for online access
  • Cover image
  • Title page
  • Table of Contents
  • Copyright
  • Preface
  • Acknowledgments
  • List of Illustrations
  • List of Tables
  • SECTION I. The Epidemiologic Approach to Disease and Intervention
  • Introduction
  • 1.  Introduction
  • What is epidemiology?
  • Objectives of epidemiology
  • Epidemiology and prevention
  • Epidemiology and clinical practice
  • Epidemiologic approach
  • From observations to preventive actions
  • When the frequency of a disease declines, who deserves the credit?
  • Integrating prevention and treatment
  • Conclusion
  • References
  • 2.  The dynamics of disease transmission
  • Modes of transmission
  • Clinical and subclinical disease
  • Carrier status
  • Endemic, epidemic, and pandemic
  • Disease outbreaks
  • Immunity and susceptibility
  • Herd immunity
  • Incubation period
  • Attack rate
  • Exploring occurrence of disease
  • Outbreak investigation
  • Conclusion
  • Review questions for chapter 2
  • References
  • 3.  The occurrence of disease: I. Disease surveillance and measures of morbidity
  • Surveillance
  • Stages of disease in an individual and in a population
  • Measures of morbidity
  • Conclusion
  • Review questions for chapter 3
  • References
  • 4.  The occurrence of disease: II. Mortality and other measures of disease impact
  • Measures of mortality
  • Comparing mortality in different populations
  • Other measures of the impact of disease
  • Conclusion
  • Review questions for chapter 4
  • References
  • 5.  Assessing the validity and reliability of diagnostic and screening tests
  • Biologic variation of human populations
  • Validity of screening tests
  • Use of multiple tests
  • Predictive value of a test
  • Reliability (repeatability) of tests
  • Relationship between validity and reliability
  • Conclusion
  • Appendices to chapter 5
  • Review questions for chapter 5
  • References
  • 6.  The natural history of disease: Ways of expressing prognosis
  • Case-fatality
  • Person-years
  • Five-year survival
  • Observed survival
  • The kaplan-meier method
  • Assumptions made in using life tables and kaplan-meier method
  • Apparent effects on prognosis of improvements in diagnosis
  • Median survival time
  • Relative survival
  • Generalizability of survival data
  • Conclusion
  • Review questions for chapter 6
  • References
  • SECTION II. Using Epidemiology to Identify the Cause of Disease
  • 7.  Observational studies
  • Case reports and case series
  • Ecologic studies
  • Cross-sectional studies
  • Case-control studies
  • Conclusion
  • Review questions for chapter 7
  • References
  • 8.  Cohort studies
  • Design of a cohort study
  • Selection of study populations
  • Types of cohort studies
  • Examples of cohort studies
  • Cohort studies for investigating childhood health and disease
  • Potential biases in cohort studies
  • When is a cohort study warranted?
  • Case-control studies based within a defined cohort
  • Conclusion
  • Review questions for chapter 8
  • References
  • 9.  Comparing cohort and case-control studies
  • 10.  Assessing preventive and therapeutic interventions: Randomized trials
  • Selection of subjects
  • Allocating subjects to treatment groups without randomization
  • Allocating subjects using randomization
  • Data collection on subjects
  • Crossover
  • Factorial design
  • Noncompliance
  • Conclusion
  • Review questions for chapters 10 and 11 are at the end of chapter 11.
  • References
  • 11.  Randomized trials: Some further issues
  • Sample size
  • Recruitment and retention of study participants
  • Ways of expressing the results of randomized trials
  • Interpreting the results of randomized trials
  • Four phases in testing new drugs in the United States
  • Three major randomized trials and clinical development programs in the United States
  • Registration of clinical trials
  • Ethical considerations
  • Systematic reviews and meta-analysis
  • Conclusion
  • Epilogue
  • Review questions for chapters 10 and 11
  • References
  • 12.  Estimating risk: Is there an association?
  • Absolute risk
  • How do we determine whether a certain disease is associated with a certain exposure?
  • Relative risk
  • Odds ratio (relative odds)
  • Conclusion
  • Review questions for chapter 12
  • Appendix to chapter 12
  • References
  • 13.  More on risk: Estimating the potential for prevention
  • Attributable risk
  • Comparison of relative risk and attributable risk
  • Conclusion
  • Review questions for chapter 13
  • Appendix to chapter 13: Levin’s formula for the attributable risk for the total population
  • References
  • 14.  From association to causation: Deriving inferences from epidemiologic studies
  • Approaches for studying disease etiology
  • Types of associations
  • Types of causal relationships
  • Evidence for a causal relationship
  • Guidelines for judging whether an observed association is causal
  • Deriving causal inferences: Two examples
  • Modifications of the guidelines for causal inferences
  • Conclusion
  • Review questions for chapter 14
  • References
  • 15.  More on causal inference: Bias, confounding, and interaction
  • Bias
  • Confounding
  • Interaction
  • Conclusion
  • Review questions for chapter 15
  • References
  • 16.  Identifying the roles of genetic and environmental factors in disease causation
  • Traditional genetics
  • Complex diseases
  • Time trends in disease incidence
  • How genetic markers are used to map genes controlling risk to diseases, including complex diseases
  • Race and ancestry in genetic association studies
  • Interaction between genetic and environmental risk factors
  • Precision medicine
  • Prospects for the future
  • Conclusion
  • Review questions for chapter 16
  • References
  • SECTION III. Applying Epidemiology to Evaluation and Policy
  • 17.  Using epidemiology to evaluate health services
  • Studies of process and outcome
  • Efficacy, effectiveness, and efficiency
  • Measures of outcome
  • Comparing epidemiologic studies of disease etiology and epidemiologic research evaluating effectiveness of health services
  • Evaluation using group data
  • Evaluation using individual data
  • Conclusion
  • Review questions for chapter 17
  • References
  • 18.  Epidemiologic approach to evaluating screening programs
  • Natural history of disease
  • Pattern of disease progression
  • Methodologic issues
  • Study designs for evaluating screening: Nonrandomized and randomized studies
  • Problems in assessing the sensitivity and specificity of screening tests
  • Interpreting study results that show no benefit of screening
  • Cost-benefit analysis of screening
  • Conclusion
  • Review questions for chapter 18
  • References
  • 19.  Epidemiology and public policy
  • Epidemiology and prevention
  • Population approaches versus high-risk approaches to prevention
  • Epidemiology and clinical medicine: Hormone replacement therapy in postmenopausal women
  • Epidemiology and regulatory decisions: Anemia treatment in patients with chronic kidney disease
  • Epidemiology and public health policy
  • Risk assessment
  • Systematic reviews and meta-analyses
  • Publication bias
  • Epidemiology in the courts
  • Sources and impact of uncertainty
  • Policy issues regarding risk: What should the objectives be?
  • Conclusion
  • References
  • 20.  Ethical and professional issues in epidemiology
  • Ethical issues in epidemiology
  • Investigators’ obligations to study subjects
  • Protecting privacy and confidentiality
  • Access to data
  • Race and ethnicity in epidemiologic studies
  • Conflict of interest
  • Interpreting findings
  • Conclusion
  • References
  • Answers
  • Index
  • Gordis Epidemiology 6e
  • Review question answers for ebooks

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