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Biostatistics Seminar Series: Importance of Raw Data and Statistical Methods in Digital Phenotyping

Department & Center Events

Monday, May 8, 2023, 12:15 p.m. - 1:15 p.m. ET
Past Event

Speaker: Jukka-Pekka Onnela, Harvard University

Abstract: Social, behavioral, and cognitive phenotypes have traditionally presented difficulties for the health sciences both in research and clinical settings. The standard approach has been to rely on self-administered surveys and clinician-administered tests, both of which tend to be subjective. Due to the burden these assessments impose on participants, this approach is usually only applicable cross-sectionally, which limits its utility, especially in areas that are characterized by episodic changes in behavior. Digital phenotyping attempts to harness continuously collected raw data from personal digital devices, especially smartphones, to address this problem. I will discuss some opportunities and challenges in this line of research. Among others, I will discuss the importance of working with raw data and its implications for data analysis and reproducibility of research. I will provide an overview of some statistical methods we have developed for quantifying physical activity, sleep-wake cycle, and for imputing missing data. I will conclude by providing some examples of collaborative work in central nervous system disorders.

He will be on-site for the seminar in W2008, but the seminar will also be streamed through Zoom.

ZOOM

Meeting ID: 928 8613 3715
Passcode: 838290

Contact Info

Kara Schoenberg