Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions
Liu J, Spakowicz DJ, Ash GI, Hoyd R, Ahluwalia R, Zhang A, Lou S, Lee D, Zhang J, Presley C, Greene A, Stults-Kolehmainen M, Nally LM, Baker JS, Fucito LM, Weinzimer SA, Papachristos AV, Gerstein M. Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions. PLOS Computational Biology 2021, 17: e1009303. PMID: 34424894, PMCID: PMC8412351, DOI: 10.1371/journal.pcbi.1009303.Peer-Reviewed Original Research