Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis B...
Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis Based on Electronic Health Record Data
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Publisher
Canada: JMIR Publications
Journal title
Language
English
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Publisher
Canada: JMIR Publications
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Scope and Contents
Contents
Missing data in electronic health records are highly prevalent and result in analytical concerns such as heterogeneous sources of bias and loss of statistical power. One simple analytic method for addressing missing or unknown covariate values is to treat missingness for a particular variable as a category onto itself, which we refer to as the miss...
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Full title
Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis Based on Electronic Health Record Data
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TN_cdi_doaj_primary_oai_doaj_org_article_d34e7099916d422ca2480130948e79a8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d34e7099916d422ca2480130948e79a8
Other Identifiers
ISSN
2291-9694
E-ISSN
2291-9694
DOI
10.2196/64354
