TY - JOUR
KW - Bayes Theorem
KW - Bias
KW - *Electronic Health Records
KW - Health services
KW - Humans
KW - *Research Design
KW - Bayesian analysis
KW - data quality
KW - Electronic Health Records
KW - methodology
KW - missing data
KW - patient data
AU - E. Ford
AU - P. Rooney
AU - P. Hurley
AU - S. Oliver
AU - S. Bremner
AU - J. Cassell
AD - Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom.
Department of Physics and Astronomy, University of Sussex, Brighton, United Kingdom.
AN - 32211363
BT - Front Public Health
C2 - PMC7066995
DO - 10.3389/fpubh.2020.00054
DP - NLM
ET - 2020/03/27
LA - eng
N1 - 2296-2565
Ford, Elizabeth
Rooney, Philip
Hurley, Peter
Oliver, Seb
Bremner, Stephen
Cassell, Jackie
WT_/Wellcome Trust/United Kingdom
Journal Article
Research Support, Non-U.S. Gov't
Switzerland
Front Public Health. 2020 Mar 5;8:54. doi: 10.3389/fpubh.2020.00054. eCollection 2020.
PY - 2020
SN - 2296-2565 (Print)
2296-2565
EP - 54
T2 - Front Public Health
TI - Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data
VL - 8
ER -