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Relative Risk01:12

Relative Risk

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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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The Anchoring-and-Adjustment Heuristic01:25

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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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,...
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Actuarial Approach01:20

Actuarial Approach

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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,...
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Hazard Ratio01:12

Hazard Ratio

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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...
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Hazard Rate01:11

Hazard Rate

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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...
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Related Experiment Video

Updated: Feb 16, 2026

An R-Based Landscape Validation of a Competing Risk Model
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An R-Based Landscape Validation of a Competing Risk Model

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Risk adjustment with an outside option.

Joseph P Newhouse1

  • 1Harvard University, United States.

Journal of Health Economics
|December 18, 2017
PubMed
Summary
This summary is machine-generated.

Risk adjustment systems need sufficient funding to prevent selection issues. Unlike some models, American systems must ensure the risk pool is not zero-sum to handle favorable or adverse selection effectively.

Keywords:
Health insurance marketplacesMedicare AdvantageRisk adjustment

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Area of Science:

  • Health economics
  • Insurance market regulation

Background:

  • Existing risk adjustment literature primarily addresses individual classification and weighting.
  • Less attention has been paid to the financial scale of risk adjustment pools.
  • The presence of outside options in American risk adjustment systems can lead to selection biases.

Purpose of the Study:

  • To highlight the importance of pool funding in risk adjustment.
  • To analyze the impact of outside options on risk pool selection.
  • To differentiate American risk adjustment systems based on their financial non-zero-sum properties.

Main Methods:

  • Literature review focusing on risk adjustment mechanisms.
  • Comparative analysis of principal American risk adjustment systems.
  • Theoretical examination of selection effects in non-zero-sum versus zero-sum pools.

Main Results:

  • Favorable or adverse selection can occur when individuals have outside options.
  • Risk adjustment systems must not be zero-sum to effectively manage selection.
  • Key American risk adjustment systems vary in their approach to pool funding and selection mitigation.

Conclusions:

  • Adequate pool funding is crucial for mitigating selection bias in risk adjustment.
  • Non-zero-sum risk adjustment models are better equipped to handle market dynamics and selection.
  • Understanding the financial structure of risk adjustment is vital for equitable insurance markets.