2 papers
stat.AP2017
Learning Disease vs Participant Signatures: a permutation test approach to detect identity confounding in machine learning diagnostic applications
Elias Chaibub Neto, Abhishek Pratap, Thanneer M Perumal +6
Recently, Saeb et al (2017) showed that, in diagnostic machine learning applications, having data of each subject randomly assigned to both training and test sets (record-wise data…
stat.AP2016
Towards personalized causal inference of medication response in mobile health: an instrumental variable approach for randomized trials with imperfect compliance
Elias Chaibub Neto, Ross L Prentice, Brian M Bot +5
Mobile health studies can leverage longitudinal sensor data from smartphones to guide the application of personalized medical interventions. In this paper, we propose that adoption…