Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Educational note: types of causes.

Neil Pearce1, Jan P Vandenbroucke1,2,3

  • 1London School of Hygiene and Tropical Medicine, London, UK.

International Journal of Epidemiology
|November 12, 2019
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Venous thromboembolism after mechanical restraint in psychiatric hospitals: population based cohort and self-controlled case series study.

BMJ (Clinical research ed.)·2026
Same author

[Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration - a Korean translation].

Ewha medical journal·2025
Same author

Re: Comparison of the Test-negative Design and Cohort Design With Explicit Target Trial Emulation for Evaluating COVID-19 Vaccine Effectiveness.

Epidemiology (Cambridge, Mass.)·2025
Same author

Impacts of the COVID-19 pandemic on deprivation-level differences in cardiovascular hospitalisations: a comparison of England and Denmark using the OpenSAFELY platform and National Registry Data.

BMJ open·2024
Same author

The combined impact of migraine and gestational diabetes on long-term risk of premature myocardial infarction and stroke: A population-based cohort study.

Headache·2024
Same author

Excess Mortality Calculations to Assess the Impact of the COVID-19 Pandemic: Concepts and Methodological Issues.

American journal of public health·2024
Same journal

Age at menarche and adverse pregnancy and perinatal outcomes: triangulating evidence from multivariable and Mendelian randomization analyses.

International journal of epidemiology·2026
Same journal

Life-course trajectories of cardiovascular disease risk factors in rural India: Andhra Pradesh Children and Parents Study (APCAPS) 2003-2023.

International journal of epidemiology·2026
Same journal

Cohort Profile Update: The Young Lives study.

International journal of epidemiology·2026
Same journal

From the departing Editors in Chief.

International journal of epidemiology·2026
Same journal

Data Resource Profile: Cheeloo Lifespan Electronic-health reseArch Data-library (Cheeloo LEAD).

International journal of epidemiology·2026
Same journal

Cohort Profile Update: The Swiss Childhood Cancer Survivor Cohort.

International journal of epidemiology·2026
See all related articles

Epidemiologists investigate causes as events or states, distinguishing between modifiable and non-modifiable factors. Understanding these cause types is crucial for accurate epidemiological research and evidence-based public health strategies.

Area of Science:

  • Epidemiology
  • Causality Research
  • Public Health

Background:

  • Epidemiological studies investigate various causal factors.
  • Distinguishing between different types of causes is essential for methodological rigor.

Purpose of the Study:

  • To categorize and define the types of causes investigated in epidemiology.
  • To enhance the understanding of causality in epidemiological practice.

Main Methods:

  • Classification of causes into events (actions) and states (modifiable/non-modifiable).
  • Analysis of how cause type influences study methods, biases, and evidence requirements.

Main Results:

  • Identified three primary cause types: fixed states, dynamic states, and events.
Keywords:
Epidemiological methodscausal inferencecauses

Related Experiment Videos

  • Highlighted that different cause types necessitate distinct research approaches and evidence standards.
  • Conclusions:

    • A clear understanding of cause types improves the validity of epidemiological findings.
    • This framework aids in selecting appropriate methods for studying diverse causal relationships.