TCORS 2.0: Center for the Assessment of Tobacco Regulations (CAsToR)

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Recent Events

Tobacco Regulatory Science Distinguished Speaker Series: Nicotine and Tobacco Regulatory Policy - A Look Back and a Look Forward
DATE: Thu Sep 29, 2022
SPEAKERS: Mitch Zeller, JD (Former Director, Center for Tobacco Products, FDA)
DESCRIPTION: Mr. Zeller will take an in-depth look at the historically unregulated marketplace for tobacco products and the public health consequences of the lack of regulation. He will then explore the critical role that FDA plays conducting premarket product reviews to determine whether new tobacco products are “appropriate for the protection of public health” and should be authorized for sale. He will close with a look forward, sharing observations and posing a series of questions related to the ongoing harm reduction debate surrounding e-cigarettes.
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David Mendez, PhD: “Intro to trend analyses and time-series approaches for modeling” (conceptual)
DATE: Mon Aug 15, 2022
DESCRIPTION:

This module will: 1) Expose you to different approaches to time series modeling; 2) Help you understand the underlying assumptions behind different time series modeling

Video for “David Mendez, PhD: “Intro to trend analyses and time-series approaches for modeling” (conceptual)”
Jihyoun Jeon, PhD, MS: “Joinpoint regression” (application)
DATE: Mon Aug 15, 2022
DESCRIPTION:

Please note that part 1 of this model (conceptual) is not available for public viewing. The hands-on part of the module will teach you how to: 1) Perform a trend analysis using the Joinpoint Trend Analysis software developed by the NCI; 2) Identify trend change points which break the trend into distinct periods; 3) Compare trends between different subpopulations

Video for “Jihyoun Jeon, PhD, MS: “Joinpoint regression” (application)”
Ted Holford, PhD: “Age-period-cohort modeling” (conceptual)
DATE: Mon Aug 15, 2022
DESCRIPTION:

This module will teach you how to: 1) Express temporal trends from an age, period, and cohort perspective. 2) Parameterize time in a statistical model. 3) Partition temporal trends into linear and curvature effects. 4) Model trends of ever smoking prevalence. 5) Model trends in smoking initiation and cessation probabilities. 6) Combine the contributions of initiation and cessation to quantify smoking exposure. 7) Quantify the effect of smoking on population health.

Video for “Ted Holford, PhD: “Age-period-cohort modeling” (conceptual)”
Steve Cook, PhD: “Standard longitudinal data analysis” (conceptual & application)
DATE: Mon Aug 15, 2022
DESCRIPTION:

The hands-on part of the module will teach you how to: 1) create censor and duration variables; 2) restructure data to create an unbalanced person-period data set; 3) estimate discrete time models; 4) incorporate replicate weights.

Video for “Steve Cook, PhD: “Standard longitudinal data analysis” (conceptual & application)”
David Mendez, PhD: “Introduction to compartmental modeling” (conceptual)
DATE: Mon Aug 15, 2022
DESCRIPTION:

This module will teach you how to: 1) Understand the basic concepts behind compartmental models and their advantages and disadvantages over individual-based (micro) models. 2) Understand a basic taxonomy and key properties of macro-dynamic models.

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Andrew Brouwer, PhD, MS, MA: “Markov modeling: Multistate transition modeling” (conceptual)
DATE: Mon Aug 15, 2022
DESCRIPTION:

This module will teach you how to: 1) Understand why transitions are important to many research questions for tobacco control; 2) Specify, implement, and interpret a multistate transition applied to longitudinal data of tobacco product use; 3) Graphically summarize transition probabilities and hazard ratios; 4) Apply a multistate transition model to the Population Assessment of Tobacco and Health (PATH) Study

Video for “Andrew Brouwer, PhD, MS, MA: “Markov modeling: Multistate transition modeling” (conceptual)”
Andrew Brouwer, PhD, MS, MA: “Markov modeling: Multistate transition modeling” (application)
DATE: Mon Aug 15, 2022
DESCRIPTION:

This module will teach you how to: 1) Understand why transitions are important to many research questions for tobacco control; 2) Specify, implement, and interpret a multistate transition applied to longitudinal data of tobacco product use; 3) Graphically summarize transition probabilities and hazard ratios; 4) Apply a multistate transition model to the Population Assessment of Tobacco and Health (PATH) Study

Video for “Andrew Brouwer, PhD, MS, MA: “Markov modeling: Multistate transition modeling” (application)”
Ritesh Mistry, PhD: “Markov modeling: Latent transition analysis” (conceptual)
DATE: Mon Aug 15, 2022
DESCRIPTION:

Learning objectives: 1) Understand the conceptual underpinnings of latent transition analysis and its value to tobacco control research. 2) Describe the key analysis steps involved in conducting latent transition analysis. 3) Interpret the parameters and results generated from latent transition analysis.

Video for “Ritesh Mistry, PhD: “Markov modeling: Latent transition analysis” (conceptual)”
David Mendez, PhD: “Bayesian estimation and the Kalman Filter” (conceptual)
DATE: Mon Aug 15, 2022
DESCRIPTION:

This module will teach you how to: 1) Understand the basic principles of Bayesian estimation. 2) Understand how Bayesian estimation relates to structural time series modeling. 3) Understand the mechanics of the Kalman filter and its applications to structural time series modeling.

Video for “David Mendez, PhD: “Bayesian estimation and the Kalman Filter” (conceptual)”