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 Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

2.3K
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
2.3K
Causality in Epidemiology01:21

Causality in Epidemiology

1.8K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.8K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

1.1K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.1K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

656
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
656
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.3K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.3K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.5K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.5K

You might also read

Related Articles

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

Sort by
Same author

A cross-sectional analysis of male versus female flourishing among 202,898 participants across 22 countries on 73 variables in the global flourishing study.

Scientific reports·2026
Same author

Spirituality and Harmful or Hazardous Alcohol and Other Drug Use: A Meta-Analysis of Longitudinal Studies.

JAMA psychiatry·2026
Same author

Love of neighbor assessment: validity, reliability, and a template for measurement.

Frontiers in psychology·2026
Same author

Childhood experiences and adult self-rated physical health in 22 countries.

BMC global and public health·2026
Same author

Mental illness, mental health, and mental well-being.

Npj mental health research·2026
Same author

Adolescence in social context: Longitudinal associations of 15 social factors with health and well-being.

Social science & medicine (1982)·2026
Same journal

Can the All of Us sample be reweighted to mirror a nationally representative sample? A comparison of mortality predictors.

Epidemiology (Cambridge, Mass.)·2026
Same journal

Gut health, systemic inflammation, and linear growth among Indonesian infants: findings from the Action Against Stunting Hub observation cohort: Erratum.

Epidemiology (Cambridge, Mass.)·2026
Same journal

Evaluating Estimators in Partially Identified Models.

Epidemiology (Cambridge, Mass.)·2026
Same journal

Stratification and accumulation? Explaining changing mortality inequities between business owners and non-owners in the U.S. (1984-2022).

Epidemiology (Cambridge, Mass.)·2026
Same journal

Be wary of age-stratum aging in early-onset cancer trends.

Epidemiology (Cambridge, Mass.)·2026
Same journal

The Authors Respond.

Epidemiology (Cambridge, Mass.)·2026
See all related articles

Related Experiment Video

Updated: Mar 7, 2026

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.3K

Outcome-wide Epidemiology.

Tyler J VanderWeele1

  • 1From the Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.

Epidemiology (Cambridge, Mass.)
|February 7, 2017
PubMed
Summary
This summary is machine-generated.

Outcome-wide epidemiology, assessing one exposure against many health outcomes, offers a simpler, more effective approach for public health. This method aids in understanding complex exposure effects and guiding recommendations.

More Related Videos

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

9.2K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.4K

Related Experiment Videos

Last Updated: Mar 7, 2026

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.3K
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

9.2K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.4K

Area of Science:

  • Epidemiology
  • Public Health
  • Biostatistics

Background:

  • Traditional epidemiologic studies often examine single exposures with single outcomes.
  • Complex exposures can have varied effects, both beneficial and harmful, across multiple health outcomes.
  • Prioritizing public health interventions requires a comprehensive understanding of these varied effects.

Purpose of the Study:

  • To propose and advocate for the adoption of "outcome-wide epidemiology."
  • To highlight the advantages of simultaneously assessing a single exposure's association with multiple outcomes.
  • To compare the methodological advantages of outcome-wide versus exposure-wide epidemiologic approaches.

Main Methods:

  • Focuses on assessing the associations between a single exposure and multiple health outcomes concurrently.
  • Contrasts with "exposure-wide epidemiology," which examines multiple exposures for a single outcome.
  • Emphasizes the relative methodological simplicity and reduced bias potential of the outcome-wide approach.

Main Results:

  • Outcome-wide epidemiology is particularly valuable for exposures with potentially divergent effects (beneficial for some outcomes, harmful for others).
  • This approach is deemed more straightforward and less prone to confounding and mediation biases compared to exposure-wide studies.
  • The method is considered more effective for generating actionable public health recommendations.

Conclusions:

  • Outcome-wide epidemiology offers a robust framework for understanding complex exposure-health relationships.
  • It provides a more practical and less biased method for guiding public health policy and interventions.
  • The simultaneous assessment of multiple outcomes enhances the utility of epidemiologic findings for real-world application.