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

1.9K
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,...
1.9K
Causality in Epidemiology01:21

Causality in Epidemiology

1.7K
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...
1.7K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.0K
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...
1.0K
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

846
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
846
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.4K
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:  
1.4K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

984
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:
984

You might also read

Related Articles

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

Sort by
Same author

The association between prenatal and early-life antibiotic use and obesity at 4-5 years in the Born in Bradford birth cohort.

BMC public health·2026
Same author

Worldwide Impact of Human Development and Inequality on the Prevalence of Asthma, Rhinoconjunctivitis and Eczema. Global Asthma Network's Ecological Study.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology·2026
Same author

Collapsibility in case-control studies.

International journal of epidemiology·2026
Same author

Reliability of self-reported career histories reported by former professional association football players included in the health and ageing data iN the game of football (HEADING) study.

Annals of work exposures and health·2026
Same author

Risk of Guillain-Barré Syndrome after Laboratory-Confirmed Dengue Infection.

The New England journal of medicine·2026
Same author

Environmental risk factors for allergic rhinitis differ by income level: A Global Asthma Network survey.

Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology·2026

Related Experiment Video

Updated: Feb 8, 2026

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
07:41

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

Published on: January 7, 2019

9.7K

Corporate influences on epidemiology.

Neil Pearce1

  • 1Centre for Public Health Research, Massey University Wellington Campus, Private Box 756, Wellington, New Zealand. n.e.pearce@massey.ac.nz

International Journal of Epidemiology
|February 5, 2008
PubMed
Summary

Corporate influence in epidemiology is increasing, with industry-funded researchers often challenging independent studies on drug side effects and chemical hazards. This impacts scientific integrity and public health policy.

Area of Science:

  • Epidemiology
  • Public Health Policy
  • Scientific Integrity

Background:

  • Corporate influence in epidemiology has grown significantly over recent decades.
  • This influence is particularly pronounced in pharmacoepidemiology and occupational epidemiology.
  • Industry-funded research often challenges independent studies, labeling them as 'junk science' and attempting to block publication.

Purpose of the Study:

  • To highlight the pervasive corporate influences on epidemiological research.
  • To discuss the ethical challenges posed by industry funding in epidemiology.
  • To explore potential solutions for maintaining the integrity of epidemiological science.

Main Methods:

  • Analysis of corporate influence on epidemiological studies.

More Related Videos

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.9K
Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies
10:11

Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies

Published on: October 22, 2014

19.7K

Related Experiment Videos

Last Updated: Feb 8, 2026

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
07:41

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

Published on: January 7, 2019

9.7K
Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.9K
Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies
10:11

Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies

Published on: October 22, 2014

19.7K
  • Review of ethical discussions and professional responses.
  • Examination of the role of professional organizations in promoting scientific principles.

    • Main Results:

    • Industry-funded epidemiologists frequently attack and attempt to discredit independent research.
    • Undisclosed industry funding and biased academic affiliations are prevalent.
    • These practices pose significant threats to the credibility and survival of epidemiology as a scientific discipline.

    Conclusions:

    • Strengthening ethical guidelines and promoting positive scientific principles are crucial.
    • Professional organizations like the International Epidemiological Association can advocate for scientific integrity.
    • A proactive approach is needed to ensure epidemiology serves public policy effectively and ethically.