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

1.3K
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,...
1.3K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

678
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:
678
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

583
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...
583
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

919
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:  
919
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

349
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...
349
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

223
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
223

You might also read

Related Articles

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

Sort by
Same author

Frailty as a Modifier of the Associations Between Vascular Risk Factors and Incident Dementia.

Neurology·2026
Same author

A sensorimotor function construct to assess mild cognitive impairment risk.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Effects of hearing intervention on physical function: A secondary analysis of the ACHIEVE study.

PloS one·2026
Same author

Hearing loss and incident dementia over 8 years in Black and White older adults: the Atherosclerosis Risk in Communities Neurocognitive Study.

Frontiers in epidemiology·2026
Same author

Introduction to Supplement Issue: Sensory loss in Alzheimer's disease and related dementias.

Journal of Alzheimer's disease : JAD·2026
Same author

Obstructive sleep apnea and functional hearing loss over 8 years: results from the National Health and Aging Trends Study.

American journal of epidemiology·2026
Same journal

Streaming with Hearing Aids for Adolescents Who Are Hard of Hearing.

Seminars in hearing·2026
Same journal

Challenges Faced by Adolescents Who Are Deaf or Hard of Hearing: Then and Now.

Seminars in hearing·2026
Same journal

Epilogue: The Final Four.

Seminars in hearing·2026
Same journal

Implications of Legislation to Ban Cell Phones in Public Schools on the Use of Hearing Assistive Technology.

Seminars in hearing·2026
Same journal

The Role of Auditory Status and Emotion Intensity in Facial Emotion Recognition by Adolescents.

Seminars in hearing·2026
Same journal

The Differential Effects of Auditory Status on the Number and Type of Extracurricular Activities and Subsequent Social Satisfaction in Adolescents.

Seminars in hearing·2026
See all related articles

Related Experiment Video

Updated: Nov 8, 2025

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

27.4K

Interpreting Results from Epidemiologic Studies.

Jennifer A Deal1,2,3, Joshua Betz3,4, Frank R Lin1,2,3

  • 1Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Seminars in Hearing
|April 22, 2021
PubMed
Summary
This summary is machine-generated.

Epidemiology, the study of public health, examines disease causation. Understanding its methods and limitations is crucial for interpreting health research and improving patient care.

Keywords:
causal inferenceepidemiology

More Related Videos

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

860
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

14.8K

Related Experiment Videos

Last Updated: Nov 8, 2025

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

27.4K
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

860
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

14.8K

Area of Science:

  • Epidemiology as the foundational science of public health.

Background:

  • Public health research relies on epidemiological methods to understand disease.
  • Challenges exist in accurately determining disease causation using epidemiological studies.

Purpose of the Study:

  • To provide an overview of epidemiological approaches to disease causation.
  • To explain common pitfalls in epidemiological research.
  • To offer a framework for consuming and applying epidemiological findings in clinical practice.

Main Methods:

  • This discussion synthesizes existing knowledge on epidemiological principles.
  • It reviews common methodologies employed in disease causation research.

Main Results:

  • Epidemiology employs observational and experimental methods to investigate disease patterns.
  • Misinterpretation of correlation versus causation can lead to erroneous conclusions.
  • Understanding study limitations is key to accurate public health insights.

Conclusions:

  • A critical approach to epidemiological research is essential for effective public health.
  • Applying epidemiological findings requires careful consideration of study design and potential biases.
  • Enhanced understanding of epidemiology improves patient care through evidence-based practice.