Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ethics in Research

Ethics in Research

Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.

Bias in Epidemiological Studies

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:

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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,...

Introduction to Epidemiology

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,...

Systematic Error: Methodological and Sampling Errors

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...

Strategies for Assessing and Addressing Confounding

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...

You might also read

Related Articles

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

Sort by

Same author

13th Annual Symposium on Global Cancer Research: Reflections on Growth, Adaptation, and Commitment to Global Cancer Control.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2025

Same author

IPVS Consensus Statement on The Natural History of Cervical Human Papillomavirus Infection.

The Journal of infectious diseases·2025

Same author

The global landscape of cancer stigma research and practice: perspectives, measures, interventions, and actions for change.

Journal of the National Cancer Institute. Monographs·2024

Same author

Global cancer stigma research: a U.S. National Cancer Institute workshop report.

Journal of the National Cancer Institute. Monographs·2024

Same author

Tobacco control research on the African continent: a 22-year literature review and network analysis.

Tobacco control·2023

Same author

Advancing Tobacco Cessation in LMICs.

Current oncology (Toronto, Ont.)·2022

Search research articles

Related Experiment Video

Updated: Jul 28, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Redefining Expertise and Evidence in Global Implementation Research.

Vidya Vedham¹, Mark Parascandola¹, Patti E Gravitt¹

¹U.S NCI, Center for Global Health, Rockville, Maryland.

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology

|June 1, 2023

Summary

Implementation science is crucial for global cancer research, especially in low- and middle-income countries. Co-design and systems approaches accelerate translating research into practice for better cancer control.

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

Related Experiment Videos

Last Updated: Jul 28, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

Area of Science:

Global Health
Cancer Control and Prevention
Implementation Science

Background:

The 11th Annual Symposium on Global Cancer Research focused on "Closing the Research-to-Implementation Gap."
Implementation science plays a vital role in addressing the unique challenges of low- and middle-income countries (LMICs).

Purpose of the Study:

To reflect on the evolving role of implementation science in global cancer research.
To emphasize the need for enhanced collaboration between implementation scientists and cancer control practitioners.
To advocate for context-relevant co-design of implementation strategies in LMICs.

Main Methods:

Review and reflection on the application of implementation science in global cancer research.
Highlighting the importance of sustained engagement and co-design.
Suggesting the use of systems approaches for evidence-to-practice translation.

Main Results:

Stronger and sustained engagement is necessary for effective implementation.
Context-relevant co-design of implementation plans and strategies is critical.
Deep learning from embedded implementation research is key to accelerating translation.

Conclusions:

Implementation science is essential for advancing global cancer research and control.
Inductive analytic approaches and systems thinking can facilitate evidence-to-practice translation.
Collaborative efforts are vital to close the research-to-implementation gap in LMICs.