Papers: 10.1371/journal.pcbi.1009303
https://doi.org/10.1371/journal.pcbi.1009303
Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions
Cited by: 9
Author(s): Jason Liu, Daniel Spakowicz, Garrett I. Ash, Rebecca Hoyd, Rohan Ahluwalia, Andrew Zhang, Shaoke Lou, Dong‐Hoon Lee, Jing Zhang, Carolyn J. Presley, Ann Greene, Matthew Stults‐Kolehmainen, Laura M. Nally, Julien S. Baker, Lisa M. Fucito, Stuart A. Weinzimer, Andrew V. Papachristos, Mark Gerstein
Published: almost 4 years ago
Software Mentions 1
cran: CausalImpact
Inferring Causal Effects using Bayesian Structural Time-Series ModelsPapers that mentioned: 8
Very Likely Science (100)