R4Bioinfo workshop: Epidemiology for Bioinformaticians

We are delighted to get back to the R4Bioinfo series that we've launched in September 2020. We will be organizing a new workshop about Epidemiology for Bioinformaticians.

Date/Time: Friday, March 26, 2021 from 5:30 PM to 7:45 PM (GMT+1)
Place: Zoom https://zoom.us/download

▶️ Invited trainer: Chloe Mirzayi
▶️ About Chloe Mirzayi:
Chloe Mirzayi, MPH is a doctoral candidate in Epidemiology at the City University of New York (CUNY) Graduate School of Public Health and Health Policy and Data Scientist at the CUNY Institute for Implementation Science in Population Health (ISPH). She has experience designing, implementing, and maintaining data collection, management, and curation tools on a variety of projects ranging from large national cohort studies to RCTs in topics related to COVID-19, microbiome, HIV, substance use, and mental health. Her own research interests are focused on the role of the microbiome on human health, causal inference in microbiome research, and improving the epidemiological rigor of health and bioinformatics research.
Chloe's dissertation research will focus on the impact of antibiotics on the human gut microbiome. Her mentor and dissertation committee chair is CUNY ISPH Investigator Dr. Levi Waldron.

➡️ About the workshop:
Concepts of causal inference in epidemiology have important ramifications for studies across bioinformatics and other fields of health research. In this workshop, Chloe Mirzayi will introduce basic concepts of epidemiology, study design, and causal inference for bioinformaticians. Emphasis is placed on addressing bias and confounding as common threats to assessing a causal pathway in a variety of study design types and when using common forms of analyses such as GWAS and survival analysis. Workshop participants will have the opportunity to create their own structural causal models (DAGs) and use this model to determine how to assess an estimated causal effect. Examples using DESeq2, edgeR, and limma will be used to show how multivariable models can be fitted depending on the hypothesized causal relationship.

In order to attend the event, please fill out this form 👉 https://tinyurl.com/bpdshsj4

We will send you the Zoom link and the enter passcode a few hours before the training session. Please check out your email later.

Don't forget to add the meetup to your calendar so that you get a reminder about it.

We look forward to welcoming you!