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Dawn Bardot
Dawn Bardot
Unknown affiliation
Verified email at abiomed.com
Title
Cited by
Cited by
Year
Assessing credibility of computational modeling through verification and validation: application to medical devices
A V&V40
The American Society of Mechanical Engineers, 2018
1102018
Incorporation of stochastic engineering models as prior information in Bayesian medical device trials
T Haddad, A Himes, L Thompson, T Irony, R Nair, ...
Journal of biopharmaceutical statistics 27 (6), 1089-1103, 2017
482017
Electrical neurostimulation with imbalanced waveform mitigates dissolution of platinum electrodes
D Kumsa, EM Hudak, FW Montague, SC Kelley, DF Untereker, BP Hahn, ...
Journal of neural engineering 13 (5), 054001, 2016
482016
Parkinson’s patients’ tolerance for risk and willingness to wait for potential benefits of novel neurostimulation devices: a patient-centered threshold technique study
B Hauber, B Mange, M Zhou, S Chaudhuri, HL Benz, B Caldwell, JP Ruiz, ...
MDM policy & practice 6 (1), 2381468320978407, 2021
302021
Carbon dioxide removal system for closed loop atmosphere revitalization, candidate sorbents screening and test results
EM Mattox, JC Knox, DM Bardot
Acta Astronautica 86, 39-46, 2013
302013
Public regulatory databases as a source of insight for neuromodulation devices stimulation parameters
D Kumsa, GK Steinke, GF Molnar, EM Hudak, FW Montague, SC Kelley, ...
Neuromodulation: Technology at the Neural Interface 21 (2), 117-125, 2018
222018
Using Bayesian inference for parameter estimation when the system response and experimental conditions are measured with error and some variables are considered as nuisance …
AF Emery, E Valenti, D Bardot
Measurement Science and Technology 18 (1), 19, 2006
172006
Determination of the sensitivity of heat transfer systems using global sensitivity and Gaussian processes
AF Emery, D Bardot
112007
Patient-centered identification of meaningful regulatory endpoints for medical devices to treat Parkinson’s disease
HL Benz, B Caldwell, JP Ruiz, A Saha, M Ho, S Christopher, D Bardot, ...
MDM Policy & Practice 6 (1), 23814683211021380, 2021
102021
Augmenting a clinical study with virtual patient models: Food and Drug Administration and industry collaboration
A Himes, T Haddad, D Bardot, ...
Journal of Medical Devices 10 (3), 030947, 2016
102016
Uncertainty anlaysis of the experimental results investigating the effects of turbulence intensity on the performance of rotating vane anemometers/Discussion
BT Beck, DM Bardot, MH Hosni
ASHRAE Transactions 108, 434, 2002
92002
Use of Bayesian decision analysis to maximize value in patient-centered randomized clinical trials in Parkinson’s disease
SE Chaudhuri, Z Ben Chaouch, B Hauber, B Mange, M Zhou, ...
Journal of Biopharmaceutical Statistics, 1-20, 2023
82023
Experimental determination of the effects of turbulence intensity on the performance of rotating vane anemometers
DM Morris, BT Beck, MH Hosni
ASHRAE Transactions 107, 215, 2001
82001
V&V 40–2018
A Standard
Assessing Credibility of Com putational Modeling through Verification and …, 2018
72018
Therapy cast
G Fischer, D Bardot, M Dahl, K Miyasaka, L Nilsson
US Patent App. 13/529,930, 2013
62013
Uncertainty Analysis, Verification and Validation of a Stress Concentration in a Cantilever Beam
S Kargar, DM Bardot
Simulation 1 (16080), 0.8213, 2010
52010
Stochastic heat transfer in fins and transient cooling using polynomial chaos and wick products
AF Emery, D Bardot
42007
Stochastic heat transfer in fins and transient cooling using polynomial chaos and wick products
AF Emery, D Bardot
Heat Transfer Summer Conference 46938, 171-178, 2004
42004
Parameter estimation for highly nonlinear models with noisy data
AF Emery, D Bardot
Heat Transfer Summer Conference 36959, 739-748, 2003
42003
The need for understanding and engaging the patient as consumer of products developed by neural engineering
J French, D Bardot, E Graczyk, A Hess-Dunning, JL Lujan, M Moynahan, ...
Journal of neural engineering 15 (4), 040201, 2018
22018
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