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Matthew M. Engelhard
Matthew M. Engelhard
Assistant Professor of Biostatistics & Bioinformatics, Duke University
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
Novel experience induces persistent sleep-dependent plasticity in the cortex but not in the hippocampus
S Ribeiro, X Shi, M Engelhard, Y Zhou, H Zhang, D Gervasoni, SC Lin, ...
Frontiers in neuroscience 1, 11, 2007
1832007
Validation of the sleep regularity index in older adults and associations with cardiometabolic risk
JR Lunsford-Avery, MM Engelhard, AM Navar, SH Kollins
Scientific reports 8 (1), 14158, 2018
1442018
Quantifying six-minute walk induced gait deterioration with inertial sensors in multiple sclerosis subjects
MM Engelhard, SR Dandu, SD Patek, JC Lach, MD Goldman
Gait & posture 49, 340-345, 2016
472016
Sleep/wake regularity associated with default mode network structure among healthy adolescents and young adults
JR Lunsford-Avery, KSF Damme, MM Engelhard, SH Kollins, VA Mittal
Scientific reports 10 (1), 509, 2020
442020
Unpacking the performance of a mobile health information messaging program for mothers (MomConnect) in South Africa: evidence on program reach and messaging exposure
AE LeFevre, P Dane, CJ Copley, C Pienaar, AN Parsons, M Engelhard, ...
BMJ global health 3 (Suppl 2), e000583, 2018
412018
Remotely engaged: lessons from remote monitoring in multiple sclerosis
MM Engelhard, SD Patek, K Sheridan, JC Lach, MD Goldman
International journal of medical informatics 100, 26-31, 2017
312017
Fatigue and fluid hydration status in multiple sclerosis: a hypothesis
MC Cincotta, MM Engelhard, M Stankey, MD Goldman
Multiple Sclerosis Journal 22 (11), 1438-1443, 2016
292016
Predictive accuracy of stroke risk prediction models across black and white race, sex, and age groups
C Hong, MJ Pencina, DM Wojdyla, JL Hall, SE Judd, M Cary, ...
Jama 329 (4), 306-317, 2023
272023
Incremental benefits of machine learning—when do we need a better mousetrap?
MM Engelhard, AM Navar, MJ Pencina
JAMA cardiology 6 (6), 621-623, 2021
222021
Understanding the physiological significance of four inertial gait features in multiple sclerosis
SR Dandu, MM Engelhard, A Qureshi, J Gong, JC Lach, M Brandt-Pearce, ...
IEEE journal of biomedical and health informatics 22 (1), 40-46, 2017
212017
Optimising mHealth helpdesk responsiveness in South Africa: towards automated message triage
M Engelhard, C Copley, J Watson, Y Pillay, P Barron, AE LeFevre
BMJ global health 3 (Suppl 2), e000567, 2018
192018
Real-world walking in multiple sclerosis: Separating capacity from behavior
MM Engelhard, SD Patek, JC Lach, MD Goldman
Gait & posture 59, 211-216, 2018
182018
Impact of daily caffeine intake and timing on electroencephalogram-measured sleep in adolescents
JR Lunsford-Avery, SH Kollins, S Kansagra, KW Wang, MM Engelhard
Journal of Clinical Sleep Medicine 18 (3), 877-884, 2022
172022
The e-MSWS-12: improving the multiple sclerosis walking scale using item response theory
MM Engelhard, KM Schmidt, CE Engel, JN Brenton, SD Patek, ...
Quality of Life Research 25, 3221-3230, 2016
172016
Review of popularity and quality standards of opioid-related smartphone apps
R Vilardaga, T Fisher, PE Palenski, V Kumaresan, P Mannelli, ...
Current addiction reports 7, 486-496, 2020
162020
Health system utilization before age 1 among children later diagnosed with autism or ADHD
MM Engelhard, SI Berchuck, J Garg, R Henao, A Olson, S Rusincovitch, ...
Scientific reports 10 (1), 17677, 2020
142020
Toward detection and monitoring of gait pathology using inertial sensors under rotation, scale, and offset invariant dynamic time warping
M Engelhard, SR Dandu, J Lach, M Goldman, S Patek
EAI Endorsed Transactions on Pervasive Health and Technology 2 (5), 2015
142015
The many channels of screen media technology in ADHD: a paradigm for quantifying distinct risks and potential benefits
MM Engelhard, SH Kollins
Current Psychiatry Reports 21, 1-10, 2019
132019
Feasibility and acceptability of wearable sleep electroencephalogram device use in adolescents: observational study
JR Lunsford-Avery, C Keller, SH Kollins, AD Krystal, L Jackson, ...
JMIR mHealth and uHealth 8 (10), e20590, 2020
102020
Predicting smoking events with a time-varying semi-parametric hawkes process model
M Engelhard, H Xu, L Carin, JA Oliver, M Hallyburton, FJ McClernon
Machine Learning for Healthcare Conference, 312-331, 2018
102018
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