An e-cigarette Public Health Application of a Randomized Response Model

Music City Center 

Every year, different researchers update randomized response models to improve model efficiency. In moving towards a practical application of this model, and in consideration of this year's JSM 2025 theme of "Statistics and Data Science, an AI Enriching Society" one can consider decisions with substance-abuse mental health protocol changes with combining randomized response statistical techniques, along with current scientific advances in neuroscience. This includes research regarding stress pathways and amygdala activation, which affect the response given by the participant in survey research with sensitive data. Defining terms such as emotional physiology and internal subconscious anxiety allows a researcher to restructure the randomized response model for practicality over efficiency. We will examine the 2-deck of cards model, proposed by Odumade and Singh (2009), and show the adjustments needed for practicality of a real world application highlighting vaping via e-cigarette use amongst teens during the COVID-19 pandemic.

survey sampling

randomized response

sensitive data

mental health

substance abuse

public health 

Mental Health Statistics Section