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

Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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, controlled...
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...
Factors Affecting Illness01:18

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness, disability,...
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...

You might also read

Related Articles

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

Sort by
Same author

Paralysis in public health: evidence as an alibi?

The Lancet. Public health·2026
Same author

Increasing burden of early-onset cancers: disentangling the contributions of changes in risk from demographic shifts.

Cancer research communications·2026
Same author

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

Epidemiology (Cambridge, Mass.)·2026
Same author

Evidence in All Policies: Restoring Science to Public Health and Clinical Decision-Making.

Journal of general internal medicine·2026
Same author

Integrating artificial intelligence tools in health research.

NPJ digital medicine·2026
Same author

Prostate Cancer Incidence, Mortality, and Survival in Switzerland.

JAMA network open·2026
Same journal

Obesity is rising fastest in young adults, study shows.

BMJ (Clinical research ed.)·2026
Same journal

Crocodile attack: Probe after injured boy's medical records are accessed by 40 NHS staff.

BMJ (Clinical research ed.)·2026
Same journal

US healthcare gap is growing.

BMJ (Clinical research ed.)·2026
Same journal

10-Minute Consultation: Discussing and prescribing analgesia in pregnancy.

BMJ (Clinical research ed.)·2026
Same journal

Training fruit trees: the oesophagogastric surgeon practising creativity and patience.

BMJ (Clinical research ed.)·2026
Same journal

Patient reported outcomes capture subtle changes in disease.

BMJ (Clinical research ed.)·2026
See all related articles
  1. Home
  2. When Risk Becomes Disease
  1. Home
  2. When Risk Becomes Disease

Related Experiment Video

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

When risk becomes disease

Arnaud Chiolero1

  • 1Population Health Laboratory (#PopHealthLab), University of Fribourg, Switzerland.

BMJ (Clinical Research Ed.)
|May 21, 2026
Summary

No abstract available in PubMed .

More Related Videos

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

An Assay to Detect Protection of the Retinal Vasculature from Diabetes-Related Death in Mice
04:36

An Assay to Detect Protection of the Retinal Vasculature from Diabetes-Related Death in Mice

Published on: January 12, 2024

Related Experiment Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

An Assay to Detect Protection of the Retinal Vasculature from Diabetes-Related Death in Mice
04:36

An Assay to Detect Protection of the Retinal Vasculature from Diabetes-Related Death in Mice

Published on: January 12, 2024