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...
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...
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...
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin create...
Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.

You might also read

Related Articles

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

Sort by
Same author

Even among the troubled.

Australian family physician·2013
Same author

Keeping it simple.

Australian family physician·2012
Same author

When we can't fix what is broken.

Australian family physician·2012
Same author

A leg to stand on.

Australian family physician·2011
Same author

Centrelink forms -- a guide for GPs.

Australian family physician·2011
Same author

Once bitten.

Australian family physician·2009
Same journal

Occupational violence and staff safety in general practice.

Australian family physician·2018
Same journal

You should get that mole checked out: Ethical and legal considerations of the unsolicited clinical opinion.

Australian family physician·2018
Same journal

Understanding the decision to commence a dose administration aid.

Australian family physician·2018
Same journal

Psychological distress and risky sexual behaviours among women aged 16-25 years in Victoria, Australia.

Australian family physician·2018
Same journal

A mixed-methods feasibility study of routinely weighing patients in general practice to aid weight management.

Australian family physician·2018
Same journal

The Australian Mid-West Coastal Marine Wound Infections Study.

Australian family physician·2018
See all related articles

Related Experiment Video

Updated: May 30, 2026

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery
09:53

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Published on: March 13, 2026

Risks and comedy.

Kath O'Connor

    Australian Family Physician
    |August 5, 2011
    PubMed
    Summary
    This summary is machine-generated.

    Defining "normal drinking" is complex, varying by individual and social context. What constitutes excessive alcohol consumption is relative, not absolute, influenced by personal circumstances.

    More Related 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

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
    13:04

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

    Published on: September 19, 2012

    Related Experiment Videos

    Last Updated: May 30, 2026

    Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery
    09:53

    Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

    Published on: March 13, 2026

    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

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
    13:04

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

    Published on: September 19, 2012

    Area of Science:

    • Social Sciences
    • Psychology
    • Public Health

    Background:

    • The perception of 'normal drinking' is subjective and culturally influenced.
    • Traditional definitions of alcoholism often lack nuance regarding individual contexts.
    • Understanding social and environmental factors is crucial for accurate alcohol consumption assessment.

    Discussion:

    • Alcohol consumption patterns are shaped by upbringing, social norms, and emotional well-being.
    • Employment status and social integration impact an individual's relationship with alcohol.
    • Contextual factors challenge simplistic definitions of 'normal' versus 'abnormal' drinking.

    Key Insights:

    • 'Normal drinking' is not a fixed standard but a fluid concept.
    • Environmental and social contexts significantly influence individual alcohol intake.
    • A nuanced approach is needed to understand alcohol use disorders.

    Outlook:

    • Future research should explore diverse socio-environmental influences on drinking behaviors.
    • Developing context-aware screening tools for alcohol-related issues is recommended.
    • Public health initiatives should address the variability in 'normal drinking' across populations.