Biostatistics Small Workshops

We’re pleased to announce five Biostatistics Small Workshops will be funded this year – congratulations to the organizers!  Stay tuned for more information as plans for the Workshops evolve.

1. Causal Inference with Highly Dependent Data in Communicable Diseases Research
Organizers: Laura Balzer, Victor DeGruttola, Judith Lok, JP Onnela, Eric Tchetgen Tchetgen, Rui Wang
This workshop will explore methods for making causal inferences in the presence of complex dependence in the setting of communicable disease prevention and control.  

2. Reproducibility in Personalized Medicine Research
Organizer: Lorenzo Trippa
The goal of this workshop is to discuss methods to identify potential causes of lack of reproducibility and statistical approaches to enhance reproducibility in precision medicine.

3. Hackathon Workshop on “Big Data to Knowledge: the Intersection of Computer Science, Statistics and Informatics”
Organizer: Tianxi Cai
This workshop aims to bring researchers from computer science, biostatistics and biomedical informatics together to discuss various state-of-art integrative analysis methods that can be directly applied to complex biomedical data.   

4. Statistical and Epidemiologic Issues in Evaluating Safety of Antiretroviral Exposures in HIV-exposed Uninfected Children
Organizer: Paige Williams
This workshop will bring together an interdisciplinary group of faculty, students, and postdocs, as well as clinical experts in HIV research to address multiple statistical and epidemiologic issues that arise in evaluating safety of ARV exposures in children born to mothers with HIV infection. 

5. Introducing Digital Phenotyping: Understanding the Clinical Motivation and Identifying Statistical Opportunities and Challenges
Organizers: JP Onnela and Rafa Irizarry
The goal of this workshop is to bring together clinical subject matter experts, especially from psychiatry and neurology but also from other fields, with quantitative scientists working with the kind of complex data that smartphones generate (for example, spatial trajectories, physical mobility, social engagement, and speech production of patients.)