Relative Risk
Relative Risk - Related Videos
01:12
Relative Risk
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2025
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...
01:30
Types of Risk: Unsystematic Risk
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2024
Unsystematic risk refers to the uncertainty associated with individual companies or specific sectors rather than the entire stock market or economy. There are four main types of unsystematic risks: Business risk involves the operational challenges within a company. These risks stem from factors such as production issues, supply chain disruptions, or changes in consumer preferences. For example, if a company faces a significant problem in its supply chain, its stock prices might drop. This risk...
01:29
Risk Neutral and Risk Loving
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2025
Individuals make decisions based on their preferences toward risk. A risk-neutral person has constant marginal utility of income. This means that each additional unit of income provides the same increase in satisfaction. Suppose two jobs have the same expected income. However, one job provides a fixed salary which is certain, while the other offers an uncertain salary. A risk-neutral person values both options equally because their total expected utility from each is the same. Therefore, they...
01:35
Types of Risk: Systematic Risk
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2024
Systematic risk is inherent to the market and reflects the impact of economic, financial, and geopolitical factors. It affects the entire market rather than specific stocks or industries. This type of risk is unavoidable and cannot be mitigated through diversification. Market risk refers to the possibility that the overall stock market will decline, impacting the value of all investments. This risk is often driven by macroeconomic factors such as economic recessions, financial crises, or global...
19:15
Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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Cited by 40 •
2014
The NICU Network Neurobehavioral Scale (NNNS) was developed as an assessment for the at-risk infant. The purpose of this article is to describe the NNNS, provide video examples of the NNNS procedures and discuss the ways in which the exam has been used.
FAQs
The reference group establishes the baseline against which the exposed or treatment group is evaluated. Using an unexposed or control group makes the comparison’s direction and meaning explicit, while changing that reference changes how the same findings are described. Researchers should therefore identify both groups clearly before interpreting the resulting ratio.
A confidence interval places the reported estimate within a range that helps researchers judge the precision of the comparison. A ratio alone summarizes the observed association, but the interval provides additional context when deciding how strongly the result supports an interpretation. Reporting both is especially important when communicating findings from health, biological, or social research.
No. Relative Risk describes an association between group membership and an outcome, but it does not by itself establish causation. Study design determines how meaningfully the association can support causal conclusions. Researchers must therefore interpret the measure alongside the design and avoid presenting an observed risk relationship as proof that the exposure produced the outcome.
First, determine the probability of the specified outcome in the exposed or treatment group. Next, determine the corresponding probability in the unexposed or control group. Divide the first risk by the second, then report and interpret the resulting value with appropriate attention to the study design and confidence interval.
The measure is useful when researchers need to compare outcome probabilities between groups defined by exposure, treatment, or control status. In health and biology, it can help evaluate potential causes or interventions; in social research, it can summarize how outcomes differ between comparison groups. Its meaning still depends on the study design and interpretation.
Researchers can compare the outcome risk among participants receiving a treatment with the risk among those in a control group. The resulting ratio summarizes how the outcome differs between the groups and helps communicate intervention findings. Interpretation should include the confidence interval and should distinguish evidence of an association from conclusions about causation.