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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...
Probability Laws01:49

Probability Laws

Overview
Odds Ratio01:09

Odds Ratio

The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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...

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Related Experiment Video

Updated: Jul 6, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Estimating relative risks from significant family-based association studies.

Michael Knapp1

  • 1Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany. knapp@uni-bonn.de

Human Heredity
|April 3, 2008
PubMed
Summary

Two methods estimate relative risks in family studies, reducing bias from ignoring significant results. These approaches provide point estimates or confidence regions for genetic risk assessment.

Related Experiment Videos

Last Updated: Jul 6, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Area of Science:

  • Genetics
  • Biostatistics
  • Epidemiology

Background:

  • Family-based association studies are crucial for identifying genetic risk factors.
  • Estimating relative risks accurately is essential for understanding disease inheritance patterns.
  • Bias can arise in relative risk estimation if study significance is not properly handled.

Purpose of the Study:

  • To present two novel statistical approaches for estimating relative risks.
  • To address and mitigate bias in relative risk estimates from significant family studies.
  • To provide tools for obtaining precise point estimates and confidence regions.

Main Methods:

  • Development of two distinct statistical methodologies for relative risk estimation.
  • Utilizing simulation studies to rigorously evaluate the performance of the proposed methods.
  • Application of the methods to a real-world family-based genetic dataset.

Main Results:

  • Both described approaches significantly reduce bias in relative risk estimates.
  • The methods successfully provide reliable point estimates and confidence regions.
  • Validation through simulation confirms the robustness and accuracy of the approaches.

Conclusions:

  • The presented methods offer improved accuracy for relative risk estimation in family studies.
  • These approaches are valuable for genetic epidemiology and risk assessment.
  • Ignoring study significance can lead to biased estimates, which these methods effectively counteract.