2021
DOI: 10.1089/neu.2019.6858
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Imputation of Ordinal Outcomes: A Comparison of Approaches in Traumatic Brain Injury

Abstract: Loss to follow-up and missing outcomes data are important issues for longitudinal observational studies and clinical trials in traumatic brain injury. One popular solution to missing 6-month outcomes has been to use the last observation carry forward (LOCF). The purpose of the current study was to compare the performance of model-based single-imputation methods with that of the LOCF approach. We hypothesized that modelbased methods would perform better as they potentially make better use of available outcome d… Show more

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Cited by 27 publications
(25 citation statements)
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“…Subjects were predominantly men (53-75% across cohorts), with a mean age ranging from 34 to 61 years. The majority (59-91% across cohorts) of cases had mild TBI (GCS [13][14][15]. Differences in TBI severity were associated with differences in GOSE in each cohort: mortality was between 2% and 10%; combined death or severe disability between 9% and 25%; and complete recovery between 24% and 41% (Table 1, Supplementary Table 1).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Subjects were predominantly men (53-75% across cohorts), with a mean age ranging from 34 to 61 years. The majority (59-91% across cohorts) of cases had mild TBI (GCS [13][14][15]. Differences in TBI severity were associated with differences in GOSE in each cohort: mortality was between 2% and 10%; combined death or severe disability between 9% and 25%; and complete recovery between 24% and 41% (Table 1, Supplementary Table 1).…”
Section: Resultsmentioning
confidence: 99%
“…For individuals in CENTER-TBI and TRACK-TBI in whom GOSE at 6 months was missing, but GOSE was measured at another time point within one year of the injury, missing 6-month GOSE values (499/2455 in the core CENTER-TBI and 274/1672 in the TRACK-TBI cohort) were imputed using a Markov multi-state model exploiting available longitudinal GOSE measurements. Used multi-stage approach relies on Markov assumptions and allows to model the probability of transitions between GOSE states and outperforms alternative panel imputation methods as discussed in detail by Kunzmann et al 14 Where no GOSE values were available at any time point, patients were excluded from the analysis. TBI severity was specified using the Glasgow Coma Score (GCS), with TBI classified as mild (GCS 13-15), moderate (GCS 9-12), or severe (GCS 3-8).…”
Section: Methodsmentioning
confidence: 99%
“…Since the GOSE-Q is not able to differentiate between vegetative state and lower severe disability, GOSE levels 2 and 3 were collapsed into one category. The missing values at six-months outcome assessments were imputed using a multi-state model; the imputation procedure is described elsewhere [ 47 ]. The GOSE was not subjected to reliability analyses, as it would require data from independent raters to provide interrater reliability, which was not available in the CENTER-TBI database.…”
Section: Methodsmentioning
confidence: 99%
“…For cases in which GOSE assessments had been performed outside the pre-specified window of 5-8 months, a multistate model was made by the CENTER-TBI statisticians to impute the 180-day GOSE [1,21]. This imputed GOSE variable was made by the CENTER-TBI statisticians and was directly extracted from the CENTER-TBI Neurobot dataset [22]. This enables all CENTER-TBI researchers to use the same outcome variable.…”
Section: Definitionsmentioning
confidence: 99%