Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data. - Elias Chaibub Neto; Brian M. Bot; Thanneer M. Perumal; Larsson Omberg; Justin Guinney; Mike Kellen; Arno Klein; Stephen H. Friend; Andrew D. Trister (PSB, 2016)

Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors. - Thanneer M. Perumal; Meghasyam Tummalacherla; Phil Snyder; Elias Chaibub Neto; Earl Ray Dorsey; Lara M. Mangravite; Larsson Omberg (UbiComp/ISWC Adjunct, 2018)

Supporting Coping with Parkinson's Disease Through Self Tracking. - Sonali R. Mishra; Predrag V. Klasnja; John MacDuffie Woodburn; Eric B. Hekler; Larsson Omberg; Michael Kellen; Lara M. Mangravite (CHI, 2019)

A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health. - Elias Chaibub Neto; Abhishek Pratap; Thanneer M. Perumal; Meghasyam Tummalacherla; Brian M. Bot; Lara M. Mangravite; Larsson Omberg (KDD, 2019)

Identifying and ranking potential driver genes of Alzheimer's disease using multiview evidence aggregation. - Sumit Mukherjee; Thanneer M. Perumal; Kenneth Daily; Solveig K. Sieberts; Larsson Omberg; Christoph Preuss; Gregory W. Carter; Lara M. Mangravite; Benjamin A. Logsdon (Bioinform., 2019)

Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants. - Abhishek Pratap; Elias Chaibub Neto; Phil Snyder; Carl Stepnowsky; Noémie Elhadad; Daniel Grant; Matthew H. Mohebbi; Sean D. Mooney; Christine Suver; John Wilbanks; Lara M. Mangravite; Patricki J. Heagerty; et al. (CoRR, 2019)

Detecting the impact of subject characteristics on machine learning-based diagnostic applications. - Elias Chaibub Neto; Abhishek Pratap; Thanneer M. Perumal; Meghasyam Tummalacherla; Phil Snyder; Brian M. Bot; Andrew D. Trister; Stephen H. Friend; Lara M. Mangravite; Larsson Omberg (npj Digit. Medicine, 2019)

Single cell tracking based on Voronoi partition via stable matching. - Young Hwan Chang; Jeremy Linsley; Josh Lamstein; Jaslin Kalra; Irina Epstein; Mariya Barch; Kenneth Daily; Phil Snyder; Larsson Omberg; Laura Heiser; Steven Finkbeiner (CDC, 2020)

Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features. - Elias Chaibub Neto; Phil Snyder; Solveig K. Sieberts; Larsson Omberg (CoRR, 2020)

Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study. - Claudia Vesel; Homa Rashidisabet; John Zulueta; Jonathan P. Stange; Jennifer Duffecy; Faraz Hussain 002; Andrea Piscitello; John S. Bark; Scott A. Langenecker; Shannon Young; Erin Mounts; Larsson Omberg; et al. (J. Am. Medical Informatics Assoc., 2020)

mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data. - Phil Snyder; Meghasyam Tummalacherla; Thanneer Malai Perumal; Larsson Omberg (J. Open Source Softw., 2020)

Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants. - Abhishek Pratap; Elias Chaibub Neto; Phil Snyder; Carl Stepnowsky; Noémie Elhadad; Daniel Grant; Matthew H. Mohebbi; Sean D. Mooney; Christine Suver; John Wilbanks; Lara M. Mangravite; Patrick J. Heagerty; et al. (npj Digit. Medicine, 2020)

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. - Solveig K. Sieberts; Jennifer Schaff; Marlena Duda; Bálint Á Pataki; Ming Sun; Phil Snyder; Jean-Francois Daneault; Federico Parisi; Gianluca Costante; Udi Rubin; Peter Banda; Yooree Chae; et al. (npj Digit. Medicine, 2021)

The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. - Yao Yan; Thomas Yu; Kathleen Muenzen; Sijia Liu 002; Connor Boyle; George Koslowski; Jiaxin Zheng; Nicholas J. Dobbins; Clement Essien; Hongfang Liu; Larsson Omberg; Meliha Yestigen; et al. (CoRR, 2022)

A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models. - Chao Yan 004; Yao Yan; Zhiyu Wan; Ziqi Zhang 005; Larsson Omberg; Justin Guinney; Sean D. Mooney; Bradley A. Malin (CoRR, 2022)

Impacts on study design when implementing digital measures in Parkinson's disease-modifying therapy trials. - Jennie S. Lavine; Anthony D. Scotina; Seth Haney; Jessie P. Bakker; Elena S. Izmailova; Larsson Omberg (Frontiers Digit. Health, 2024)

A novel estimator for the two-way partial AUC. - Elias Chaibub Neto; Vijay Yadav; Solveig K. Sieberts; Larsson Omberg (BMC Medical Informatics Decis. Mak., 2024)