Related Experiment Video
Updated: Jun 19, 2026
05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Assessment of risks by predicting counterfactuals
1Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ont., Canada N6A5C1. gzou@robarts.ca
Statistics in Medicine
|October 27, 2009
Summary
This study introduces new methods for risk assessment in epidemiology using counterfactual predictions. It provides tools for calculating risk difference and risk ratio, enhancing biomedical investigations.
Area of Science:
- Epidemiology and Biostatistics
- Statistical Modeling
Background:
- Risk assessment is crucial for epidemiological and biomedical research.
- Accurate estimation of risk measures like risk difference and risk ratio is essential.
Purpose of the Study:
- To assess risks using counterfactual outcomes.
- To propose novel confidence intervals for effect measures.
- To compare counterfactual-based risk ratios with those from the modified Poisson model.
Main Methods:
- Utilized probit, logistic, and extreme-value regression models for binary outcomes.
- Employed the method of variance estimates recovery for new confidence intervals.
- Conducted a simulation study to evaluate proposed methods.
- Developed a SAS macro for practical application.
Main Results:
- New confidence intervals were proposed and evaluated via simulation.
- Counterfactual-derived risk ratios were compared to modified Poisson model estimates.
- The study addressed concerns regarding the validity of the modified Poisson approach.
Conclusions:
- The proposed methods enhance risk assessment in epidemiological studies.
- Counterfactual-based risk ratio estimation offers a valid alternative.
- The provided SAS macro facilitates the application of these statistical techniques.
Related Concept Videos
01:19Counterfactual Thinking
Counterfactual thinking is a cognitive process wherein individuals mentally reconstruct alternative versions of past events, often beginning with “what if” or “if only.” This reflective mechanism plays a significant role in shaping emotional experiences and guiding future behavior. Though typically triggered by unfavorable or unexpected outcomes, counterfactual thinking can also emerge in mundane, everyday decisions and experiences, revealing its deep entrenchment in human cognition.Types of...
01:23Types 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...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
01:12Hindsight Biases
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
01:25Strategies for Assessing and Addressing Confounding
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
01:12Relative 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...
01:17Design 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...