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Related Concept Videos

Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

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 phenomenon...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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:
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Introduction to Epidemiology01:26

Introduction to Epidemiology

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,...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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 case-control studies.
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...

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Related Experiment Video

Updated: Jul 10, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Methodologic challenges of e-health research.

J Michael Bowling1, Barbara K Rimer, Elizabeth J Lyons

  • 1Department of Health Behavior and Health Education, School of Public Health, The University of North Carolina at Chapel Hill, Rosenau 312, Campus Box #7295, Chapel Hill, NC 27599-7295, USA.

Evaluation and Program Planning
|October 24, 2007
PubMed
Summary
This summary is machine-generated.

This study explored web-based survey strategies to boost participation among cancer survivors and caregivers. Implementing a lottery and analyzing time-stamp data improved response rates in online cancer research.

Related Experiment Videos

Last Updated: Jul 10, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

  • Health Sciences
  • Social Sciences
  • Behavioral Sciences

Background:

  • Cancer survivors and caregivers often participate in online communities, like mailing lists.
  • Assessing the impact of these online interactions requires effective survey methodologies.
  • Traditional survey methods face challenges in reaching and engaging these specific populations.

Purpose of the Study:

  • To evaluate research-based strategies for enhancing participation in web-based surveys.
  • To assess the impact of participation in cancer-related mailing lists.
  • To explore alternative methods for measuring response rates in internet surveys.

Main Methods:

  • Web-based survey design with a mixed-mode option (telephone).
  • Utilized time-stamp data to identify and reduce survey break-offs.
  • Implemented a lottery incentive to increase survey response rates.
  • Followed American Association for Public Opinion Research guidelines for response rate estimation.

Main Results:

  • Estimated response rates ranged from 15% to 24.9%.
  • Time-stamp analysis successfully reduced premature survey exits.
  • A lottery incentive showed preliminary indications of increasing response rates.
  • Mixed-mode administration saw limited uptake of the telephone option.

Conclusions:

  • Web-based surveys can be enhanced with strategies like lotteries and careful analysis of respondent behavior.
  • Careful methodological design is crucial for obtaining reliable data from cancer survivor and caregiver populations.
  • Further research can refine these strategies for improved online survey research in health.