2018
DOI: 10.23970/ahrqregistriesmissingdata
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Managing Missing Data in Patient Registries

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Cited by 66 publications
(33 citation statements)
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“…For the current review, the rate of attrition likely increased with the severity of depressive symptoms and therefore data is likely not missing at random [ 38 ]. This presents challenges for analysis as common missing data techniques (e.g., imputation) are not appropriate for data not missing at random but the estimate of the effect may be biased due to the missingness [ 39 ]. This limits the generalizability of the prognostic factors identified to those with more severe depression/depressive symptoms.…”
Section: Discussionmentioning
confidence: 99%
“…For the current review, the rate of attrition likely increased with the severity of depressive symptoms and therefore data is likely not missing at random [ 38 ]. This presents challenges for analysis as common missing data techniques (e.g., imputation) are not appropriate for data not missing at random but the estimate of the effect may be biased due to the missingness [ 39 ]. This limits the generalizability of the prognostic factors identified to those with more severe depression/depressive symptoms.…”
Section: Discussionmentioning
confidence: 99%
“…Our decision to categorize data as MAR was based on the fact that the data missing was systematically related to the observed but not the unobserved data. We did not find any evidence that data was missing not at random (MNAR) [ 30 ]. For example, we did not find that individuals with lower income were more likely to have missing income data.…”
Section: Methodsmentioning
confidence: 99%
“…In addition to consultation work with autistic adults described above, we assessed the acceptability of the GHQ-12 by examining missingness (Mack et al 2018 ). Systematic patterns of missing data may indicate that some participants were less likely to answer specific questions than others, or that participants consistently avoided particular questions.…”
Section: Methodsmentioning
confidence: 99%