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ISSUE I VOLUME V       January 24, 2022                 U54 CA229974
CAsToR Investigator Dr. Ken Warner wrote an Op-Ed in the Washington Post about the downsides of the e-cigarette tax proposed by Congress without a corresponding increase in cigarette taxes.  Access the full article, "Build Back Better's e-cigarette tax will make people smoke more" here.
In the recent publication, "The Impact of Menthol Cigarette Flavor in the U.S.: Cigarette and ENDS Transitions by Sociodemographic Group”, published in the American Journal of Preventive Medicine, author Andrew Brouwer and others discuss accounting for sociodemographic differences in product transitions when estimating the potential impact of a menthol ban
CAsToR Publications by Scientific Domain
CAsToR's goal is to assess the impact of tobacco regulations on tobacco use behaviors and tobacco-related health outcomes. As such our work and publications contribute to three main tobacco regulatory science scientific domains: 1) Impact Analysis, 2) Health Effects, and 3) Behavior.  Click on the diagram below to view the CAsToR publications by each domain
CAsToR Junior Investigators Dr. Jana Hirschtick and Dr. Steve Cook will present "Longitudinal associations between exclusive and dual use of electronic nicotine delivery systems (ENDS) and cigarettes and cardiovascular disease among adults" on Tuesday, January 25, 2022.  The presentation will review key findings and methodological considerations.  Please join us.  Registration is required here
Access Previous CAsToR Webinars and Workshops Here
                                           JUNIOR INVESTIGATOR  
CAsToR Trainee and New Investigator Alex Liber, PhD shares his 13 years of experience in tobacco policy & control research.  Dr. Liber's work has ranged from a current evaluation of Tobacco 21 policies using sales data to a dissertation that looked at the comparative politics behind e-cigarette regulation in a variety of international contexts. 
View Dr. Liber's Featured Video Here
Congratulations, Dr. Pianpian Cao!  Dr. Cao received the JUnior Investigator Career Enhancement (JUICE) award from the Cancer Intervention and Surveillance Modeling Network (CISNET), for her research,  "Mechanistic model for cancer recurrence risk prediction: Understanding the underlying mechanisms".  The project works to develop a mechanistic stochastic model of recurrence for prostate and lung cancer; results from the project may help to understand the biological mechanisms behind cancer recurrence, and the developed recurrence risk prediction model may be used in microsimulation models to assess strategies for cancer progression management. 
Tobacco Online Policy Seminar (TOPS), held weekly on Fridays, 12:00 - 1:00 pm EST
Access TOPS Fall and Winter Series Schedule Here
Sign Up to Learn More About University of Michigan, Summer Session in Epidemiology
Tobacco Use Supplement - Current Population Survey logo

The Tobacco Control Research Branch of the Division of Cancer Control and Population Sciences at the National Cancer Institute (part of NIH) invites applications from qualified candidates for a Cancer Research Training Award Fellowship position.

View the fellowship announcement

Day-to-day activities include:

  • performing data analyses with large population health data sets, primarily the Tobacco Use Supplement to the Current Population Survey (TUS-CPS);
  • contributing to manuscripts for peer-reviewed journal publications;
  • conducting literature reviews or environmental scans;
  • writing scientific content for Federal staff and other audiences;
  • participating in TUS-CPS meetings and other team meetings; and
  • attending seminars and other training opportunities.


Applicants must have a doctoral degree (or be a Ph.D. candidate) in a relevant discipline (e.g., epidemiology, public health, health policy, health communication, psychology, biostatistics) and a strong interest in tobacco control and behavioral science research.

Access CAsToR Website Opportunities Page Here for Additional Information
Michigan Public Health Launches Master of Science Degree in Computational Epidemiology and Systems Modeling

In this program, students are trained to become highly skilled epidemiologists who can understand and analyze public health problems with mathematical and statistical models. 

Epidemiological models and simulation-based analyses are increasingly used to inform public health policy and practice. Notably, throughout the COVID-19 pandemic, government agencies, policy-makers and others have used epidemiological models to help inform decision-making and slow the spread of the virus.
More Info on this New M.S. Degree from the University of Michigan
Please access the CAsToR Website for additional information on any of the items highlighted in our announcements.
M5533 SPH II   |   1415 Washington Heights   |   Ann Arbor, Michigan 48109-2029


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