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Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study.

A. Tsvetanova, M. Sperrin, D. Jenkins, N. Peek, I. Buchan, S. Hyland, and G. Martin. MedInfo, volume 310 of Studies in Health Technology and Informatics, page 1476-1477. IOS Press, (2023)

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Matthew Mellon

Matthew David

Matthew Smith

Olumuyiwa Matthew

Peter Matthew

Other publications of authors with the same name

Applying Team Science to Collaborative Digital Health Research: Learnings from the Wearable Clinic.N. Peek, C. Stockton-Powdrell, A. Casson, M. Sperrin, B. Parsia, A. Manca, C. Iglesias, I. Habli, L. Hassan, S. Antrobus and 1 other author(s). MedInfo, volume 310 of Studies in Health Technology and Informatics, page 374-378. IOS Press, (2023)Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review.P. Fraccaro, A. Beukenhorst, M. Sperrin, S. Harper, J. Palmier-Claus, S. Lewis, S. van der Veer, and N. Peek. J. Am. Medical Informatics Assoc., 26 (11): 1412-1420 (2019)Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used.A. Tsvetanova, M. Sperrin, N. Peek, I. Buchan, S. Hyland, and G. Martin. ICHI, page 443-444. IEEE, (2021)Informative presence and observation in routine health data: A review of methodology for clinical risk prediction.R. Sisk, L. Lin, M. Sperrin, J. Barrett, B. Tom, K. Diaz-Ordaz, N. Peek, and G. Martin. J. Am. Medical Informatics Assoc., 28 (1): 155-166 (2021)Explicit causal reasoning is needed to prevent prognostic models being victims of their own success.M. Sperrin, D. Jenkins, G. Martin, and N. Peek. J. Am. Medical Informatics Assoc., 26 (12): 1675-1676 (2019)e-Labs and the Stock of Health Method for Simulating Health Policies.P. Couch, M. O'Flaherty, M. Sperrin, B. Green, P. Balatsoukas, S. Lloyd, J. McGrath, C. Soiland-Reyes, J. Ainsworth, S. Capewell and 1 other author(s). MedInfo, volume 192 of Studies in Health Technology and Informatics, page 288-292. IOS Press, (2013)A Two-stage Dynamic Model to Enable Updating of Clinical Risk Prediction from Longitudinal Health Record Data: Illustrated with Kidney Function.A. Akbarov, R. Williams, B. Brown, M. Mamas, N. Peek, I. Buchan, and M. Sperrin. MedInfo, volume 216 of Studies in Health Technology and Informatics, page 696-700. IOS Press, (2015)Adaptive Symptom Monitoring Using Hidden Markov Models - An Application in Ecological Momentary Assessment.W. Hulme, G. Martin, M. Sperrin, A. Casson, S. Bucci, S. Lewis, and N. Peek. IEEE J. Biomed. Health Informatics, 25 (5): 1770-1780 (2021)Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study.A. Tsvetanova, M. Sperrin, D. Jenkins, N. Peek, I. Buchan, S. Hyland, and G. Martin. MedInfo, volume 310 of Studies in Health Technology and Informatics, page 1476-1477. IOS Press, (2023)Quantifying the problem of inconsistent missing data handling across the pipeline of Clinical Prediction Models: A simulation study.A. Tsvetanova, M. Sperrin, N. Peek, I. Buchan, S. Yland, and G. Martin. AMIA, AMIA, (2022)

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Disambiguation of "Sperrin, Matthew"

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Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study.

Please choose a person to relate this publication to

Matthew Mellon

Matthew David

Matthew Smith

Olumuyiwa Matthew

Peter Matthew

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sperrin, Matthew"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study.

Please choose a person to relate this publication to

Matthew Mellon

Matthew David

Matthew Smith

Olumuyiwa Matthew

Peter Matthew

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study.