Modern epidemiology /

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"Now in a fully revised 4th Edition, Modern Epidemiology remains the gold standard text in this complex and evolving field, offering unparalleled, comprehensive coverage of the principles and methods of epidemiologic research. Featuring a new, full-color design, updated models, and a new format...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Rothman, Kenneth J. (Autor), Lash, Timothy L. (Autor), VanderWeele, Tyler J. (Autor), Haneuse, Sebastien (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Philadelphia : Wolters Kluwer / Lippincott Williams & Wilkins ; [2021]
Edición:Fourth edition
Temas:
Epidemiology > Statistical methods.
Epidemiology > Research > Methodology.
Epidemiology.
Epidemiology > Textbooks.
Epidemiology
Epidemiologic Methods
Épidémiologie > Manuels d'enseignement supérieur.
Épidémiologie > Méthodes statistiques.
Épidémiologie.
Epidemiology > Statistical methods
Epidemiology > Research > Methodology
Internet Resources.
Textbooks
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Chapter 1: The scope of epidemiology
  • Chapter 2: Causal inference and scientific reasoning
  • Chapter 3: Formal causal models
  • Chapter 4: Measures of occurrence
  • Chapter 5: Measures of effect and measures of association
  • Chapter 6: Epidemiologic study design with validity and efficiency considerations
  • Chapter 7: Cohort studies
  • Chapter 8: Case-control studies
  • Chapter 9: Public health surveillance
  • Chapter 10: Field methods
  • Chapter 11: Studies relying on secondary data
  • Chapter 12: Confounding and confounders
  • Chapter 13: Measurement and measurement error
  • Chapter 14: Selection bias and generalizability
  • Chapter 15: Precision and study size
  • Chapter 16: Fundamentals of epidemiologic data analysis
  • Chapter 17: Introduction to categorical statistics
  • Chapter 18: Stratification and standardization
  • Chapter 19: Categorical analysis of polytomous exposures and outcome
  • Chapter 20: Regression analysis part I: model specification
  • Chapter 21: Regression analysis part II: model fitting and assessment
  • Chapter 22: Time-to-event analysis
  • Chapter 23: Introduction to Bayesian statistics
  • Chapter 24: Longitudinal and cluster-correlated data analysis
  • Chapter 25: Causal inference with time-varying exposures
  • Chapter 26: Analysis of interaction
  • Chapter 27: Mediation analysis
  • Chapter 28: Instrumental variables and quasi-experimental approaches
  • Chapter 29: Bias analysis
  • Chapter 30: Ecologic studies and analysis
  • Chapter 31: Agent-based modeling
  • Chapter 32: Infectious disease epidemiology
  • Chapter 33: Reproductive epidemiology
  • Chapter 34: Psychiatric epidemiology
  • Chapter 35: Clinical epidemiology
  • Chapter 36: Molecular epidemiology
  • Chapter 37: Genetic epidemiology
  • Chapter 38: Injury and violence epidemiology
  • Chapter 39: Social epidemiology
  • Chapter 40: Environmental epidemiology
  • Chapter 41: Occupational epidemiology
  • Chapter 42: Nutritional epidemiology
  • Chapter 43: Pharmacoepidemiology.

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