Epidemiology for Canadian Students: Principles, Methods, and Critical Appraisal 3rd Edition By Scott Patten
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Epidemiology for Canadian Students: Principles, Methods, and Critical Appraisal 3rd Edition By Scott Patten

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Pages
243
File size
6.3 MB
Format
Digital PDF
Category
eBook[PDF]
About this ebook
The 3rd edition of Epidemiology for Canadian Students: Principles, Methods, and Critical Appraisal by Scott Patten focuses on core epidemiological principles, research methods, and critical evaluation techniques framed specifically within a Canadian health framework.
Key Topics Covered
According to the publisher's breakdown and the book's curriculum:
  • First Principles of Epidemiology: Introduction to the foundational definition of epidemiology and how epidemiological reasoning functions and matters for modern health professionals.
  • Fundamental Descriptive Parameters: Core parameters and basic measures used in descriptive and analytical epidemiology, including frequencies, rates, specialized mortality rates, and composite measures of disease burden.
  • Sources of Error and Bias: Identification of vulnerabilities in research, with methods to quantify and control error. The textbook introduces the concept of bias early on alongside basic parameter estimates to make it accessible.
  • Study Designs: Comprehensive overview of key research study designs and their individual exposure or vulnerability to various errors.
  • Causal Judgement & Critical Appraisal: Practical strategies for evaluating epidemiological studies using counterfactual approaches, causal diagrams, and systematic appraisal to evaluate the quality of clinical and public health research.
What is New or Distinct in the 3rd Edition?
This edition updates the textbook to incorporate structural changes in data tracking and global health crises:
  • The COVID-19 Pandemic: Includes updated real-world case studies and examples referencing international and Canadian literature surrounding COVID-19.
  • Statistics Canada Integration: Features updated links directly to Statistics Canada data networks, reflecting the transition away from older systems like CANSIM.
  • Advanced Causal Tools: Expanded focus on causal diagrams, putting a heavier structural emphasis on Directed Acyclic Graphs (DAGs).
  • Canadian Data Ecosystems: Contextualized guidance for navigating Canadian registries, provincial health administrations, national statistical agencies, and specific regional health cohorts.
  • Updated Guidelines: Expanded tracking for systematic reviews, meta-analyses, and EQUATOR network reporting check-lists.

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Topics

Advanced Causal Tools: Expanded focus on causal diagrams Canadian Data Ecosystems: registries provincial health administrations Causal Judgement & Critical Appraisal: epidemiological studies using counterfactual approaches causal diagrams First Principles of Epidemiology: definition of epidemiology and functions and matters for modern health professionals Fundamental Descriptive Parameters: Core parameters and basic measures ISBN-10: 1550598961 ISBN-13: 978-1550598964 ISBN-13: 978-1550598988 national statistical agencies and specific regional health cohorts Sources of Error and Bias: Identification of vulnerabilities in research quantify and control error Statistics Canada Integration: Canada data networks reflecting the transition away from older systems like CANSIM structural emphasis on Directed Acyclic Graphs (DAGs) Study Designs and their individual exposure or vulnerability to various errors systematic reviews meta-analyses and EQUATOR network reporting check-lists. The COVID-19 Pandemic: case studies international and Canadian literature surrounding COVID-19
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