Missing data: A statistical framework for practice

Missing data are ubiquitous in medical research, yet there is still uncertainty over when restricting to the complete records is likely to be acceptable, when more complex methods (e.g. maximum likelihood, multiple imputation and Bayesian methods) should be used, how they relate to each other and th...

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Bibliographic Details
Published in:	Biometrical journal Vol. 63; no. 5; pp. 915 - 947
Main Authors:	Carpenter, James R., Smuk, Melanie
Format:	Journal Article
Language:	English
Published:	Germany Wiley - VCH Verlag GmbH & Co. KGaA 01.06.2021
Subjects:	Bayes Theorem Bayesian analysis Case-Control Studies Cohort Studies complete records Data Interpretation, Statistical Humans Medical research Missing data multiple imputation Sensitivity analysis Uncertainty multiple imputation sensitivity analysis complete records missing data
ISSN:	0323-3847, 1521-4036, 1521-4036
Online Access:	Get full text
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