Related Experiment Video
Updated: Nov 16, 2025
07:47
Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
15.7K
Contemporary methods in delayed discounting: Applications for suicidology with simulation.
Shawn P Gilroy1, Raymond P Tucker1, Brian W Bauer2
1Louisiana State University, Baton Rouge, Louisiana, USA.
Suicide & Life-Threatening Behavior
|February 24, 2021
Summary
This study introduces a novel behavioral economics approach for suicide prevention research. It enhances the analysis of treatment decisions, improving precision and reliability in understanding suicidal behavior.
Area of Science:
- Behavioral Economics
- Suicidology
- Decision Science
Background:
- Current suicidology research often uses hypothetical monetary choices to study risky behavior.
- Existing methods for delay discounting in suicidology have limitations in precision and reliability.
Purpose of the Study:
- To present an integrated approach using behavioral economics methods in suicidology.
- To introduce a targeted method for indexing treatment choices in suicide prevention.
- To incorporate multi-level modeling for enhanced analysis.
Main Methods:
- Developed a targeted approach to directly index treatment choices for suicide prevention.
- Utilized multi-level modeling to analyze decision-making.
- Presented a Hypothetical Firearm Decision-making Task with simulated participants.
Main Results:
- The simulated study illustrates the application of the new approach.
- Demonstrates how advanced behavioral decision-making models can supplement existing suicidology methods.
Conclusions:
- The proposed approach offers improved power, precision, and reliability over existing methods.
- This method enhances the analysis of temporally delayed decisions in suicide prevention.
Related Concept Videos
01:18Introduction To Survival Analysis
509
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
509
01:08Timing and Consequences on Behavior
239
In operant conditioning, the timing of reinforcement is crucial. For animals like rats and cats, immediate reinforcement (within a few seconds) is much more effective than delayed reinforcement. For example, a food reward for a rat needs to follow within 30 seconds of pressing a bar to be effective.
Humans, however, can respond to delayed reinforcers. We often make decisions between immediate small rewards and delayed larger rewards. This ability to delay gratification is a significant...
Humans, however, can respond to delayed reinforcers. We often make decisions between immediate small rewards and delayed larger rewards. This ability to delay gratification is a significant...
239
01:20Actuarial Approach
190
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,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
190
01:15Assumptions of Survival Analysis
251
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
251
01:14Decision Making: Traditional Method
4.8K
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...
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...
4.8K
01:24Kaplan-Meier Approach
382
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
382