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Related Concept Videos

Drug Dependence01:17

Drug Dependence

Medications are typically administered to achieve therapeutic effects. Some drugs can modify an individual's mood and perception, frequently resulting in various enjoyable experiences. However, this can result in drug dependency, a condition marked by continuous drug use despite potential negative consequences. Drug dependency primarily falls into two categories: psychological and physical dependence. Psychological dependence occurs when the pleasurable feelings induced by the drug...
Self-Discrepancy Theory02:45

Self-Discrepancy Theory

One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.
Dose-Response Relationship: Selectivity and Specificity01:25

Dose-Response Relationship: Selectivity and Specificity

Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and β2-adrenergic receptors...
Test for Homogeneity01:23

Test for Homogeneity

The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can be stated as...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

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Related Experiment Video

Updated: Jul 8, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
07:47

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

Heterogeneity in preferences for smoking cessation.

Robert W Paterson1, Kevin J Boyle, Christopher F Parmeter

  • 1Industrial Economics, Inc., Cambridge, MA, USA. rwp@indecon.com

Health Economics
|January 15, 2008
PubMed
Summary

Smokers show varied preferences for smoking cessation therapies (SCTs). Light smokers value higher success rates more, willing to pay nearly $500, while heavy smokers value it at $300.

Related Experiment Videos

Last Updated: Jul 8, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
07:47

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

Area of Science:

  • Public Health
  • Health Economics
  • Behavioral Science

Background:

  • Cessation promotion is key to tobacco control.
  • Economic evaluations often focus on cost-effectiveness or price impacts on quit rates.
  • Limited empirical data exists on smoker preferences for smoking cessation therapy (SCT) attributes.

Purpose of the Study:

  • To empirically estimate Canadian smokers' preferences for SCT attributes, focusing on efficacy.
  • To identify heterogeneity in preferences between different smoker segments (light vs. heavy).
  • To inform product development and future research in smoking cessation.

Main Methods:

  • National survey of Canadian smokers to collect choice data.
  • Random parameters logit models used to analyze preference heterogeneity.
  • Estimation of willingness-to-pay for increased SCT success rates.

Main Results:

  • Significant preference heterogeneity exists for SCT types and attributes between light and heavy smokers.
  • Heterogeneity is most pronounced regarding SCT duration and type.
  • Light smokers' willingness-to-pay for a 40% success rate is ~$500 (CAN), for heavy smokers ~$300 (CAN).

Conclusions:

  • Smoker preferences for smoking cessation therapies are diverse and segment-specific.
  • Economic valuations can guide R&D for more effective smoking cessation products and programs.
  • Further research into preference heterogeneity is warranted for public health interventions.