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Related Concept Videos

Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Experimental Designs01:16

Experimental Designs

An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
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...

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Related Experiment Video

Updated: May 10, 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

Generating Options for Active Risk Control (GO-ARC): introducing a novel technique.

Alan J Card, James R Ward, P John Clarkson

    Journal for Healthcare Quality : Official Publication of the National Association for Healthcare Quality
    |June 19, 2013
    PubMed
    Summary
    This summary is machine-generated.

    The Generating Options for Active Risk Control (GO-ARC) technique improved how healthcare workers generate risk control options. This novel tool enhances the quality and variety of patient safety solutions.

    Keywords:
    organizational decision makingpatient safetyquality improvementrisk managementsafety management

    Related Experiment Videos

    Last Updated: May 10, 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

    Area of Science:

    • Healthcare management
    • Patient safety
    • Risk assessment

    Background:

    • Formal risk assessments like RCA and FMEA are time-consuming and costly.
    • Healthcare workers struggle to generate effective risk control options post-assessment.
    • Overreliance on administrative controls compromises patient safety and cost-effectiveness.

    Purpose of the Study:

    • To introduce and evaluate the Generating Options for Active Risk Control (GO-ARC) technique.
    • To improve the quality of risk control options generated by healthcare professionals.
    • To address the limitations in current risk management practices.

    Main Methods:

    • A before-and-after pilot study design was employed.
    • The GO-ARC technique was implemented to aid risk control option generation.
    • Key outcome measures included quantity, quality, variety, and novelty of generated controls.

    Main Results:

    • The GO-ARC technique demonstrated improvement across all measured outcomes.
    • Enhanced generation of risk control options was observed post-intervention.
    • The study indicated positive impacts on the risk control generation process.

    Conclusions:

    • The GO-ARC technique shows promise in enhancing risk control option generation.
    • Further research is necessary to validate these findings.
    • Improved options are crucial but not sufficient for implementing robust risk controls.