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Causal effects in sleep


Through a partnership with a company that makes the most popular sleep tracking app on the market (with over 10 million installs), we have access to the largest set of sleep records in history. There are over 10 million nights of sleep from over 60,000 people across several years in this dataset. In general, observational data does not allow for causality claims, but recently there have been methods based on specific assumptions which provide a framework to reasonably verify 53 claims. They have been commonly used by companies like Google to analyze effects of ads based on observational data. In this project, we explore some of those methods and apply them to sleep data.


Agarwal, Ishaan, "Causal effects in sleep" (2017). Summer Research Symposium. Brown Digital Repository. Brown University Library.



  • Summer Research Symposium

    Each year, Brown University showcases the research of its undergraduates at the Summer Research Symposium. More than half of the student-researchers are UTRA recipients, while others receive funding from a variety of Brown-administered and national programs and fellowships and go …