FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3041412440> ?p ?o ?g. }

• W3041412440 endingPage "407" @default.
• W3041412440 startingPage "407" @default.
• W3041412440 abstract "Common applications of Multiple Imputation (MI) are too generic, yielding highly variable and nonreplicable results. PURPOSE: Evaluate a tailored MI approach for handling missing physical behavior (PB) outcome summaries (e.g., sitting time) due to accelerometer non-wear in an RCT and its impact in estimating time spent in PBs. METHODS: A missing data simulation was conducted from a complete subsample (N=39) of accelerometer data collected for 7-days at the start and end of a yearlong RCT. Data from 3 PB variables (sitting, standing and stepping time) were randomly deleted for 3 study groups at each timepoint to generate 10 datasets per group × timepoint with arbitrarily missing data (8-77%) in increments of 8%. A tailored MI approach was used for missing data where: i) each variable was imputed separately using unique correlated auxiliary variables, and ii) the number of imputations necessary to produce replicable and stable parameter estimates and standard errors were computed for each imputation model. Statistical differences in parameter estimates from univariate timepoint and repeated measures mixed model analyses between imputed and complete datasets were tested with paired sample T-tests and two-tailed Z scores, respectively. Errors (%) in parameter estimates relative to the complete dataset were calculated to quantify the magnitude and variability of the bias. RESULTS: The tailored MI approach produced unbiased parameter estimates and standard errors in both univariate timepoint and change analyses in sample sizes as small as N=13 with up to 54% missing data. Error and variability in parameter estimates increased exponentially above the 54% threshold in both univariate (mean % error ± SD: above threshold = 31 ± 10%, below threshold = 11 ± 4%) and change analyses (mean % error ± SD: above threshold =465 ± 98%, below threshold = 175 ± 55%). CONCLUSIONS: To our knowledge, this tailored approach is the most robust MI methodology to date for imputing incrementally missing accelerometer-based summary PB data in an RCT. Prior PB MI simulations yielded lower acceptable missing data thresholds (≤ 30%) in larger sample sizes (N ≥ 20), and did not test the impact on analyzing change between repeated measures. Tailoring MI to restore lost statistical power may prevent conservative estimates of the treatment effects in PB RCTs." @default.
• W3041412440 created "2020-07-16" @default.
• W3041412440 creator A5005830034 @default.
• W3041412440 creator A5029481515 @default.
• W3041412440 creator A5065141526 @default.
• W3041412440 date "2020-07-01" @default.
• W3041412440 modified "2023-09-27" @default.
• W3041412440 title "A Tailored Multiple Imputation Approach To Handle Arbitrarily-Missing Accelerometer Data In A Randomized Controlled Trial" @default.
• W3041412440 doi "https://doi.org/10.1249/01.mss.0000678272.85590.ee" @default.
• W3041412440 hasPublicationYear "2020" @default.
• W3041412440 type Work @default.
• W3041412440 sameAs 3041412440 @default.
• W3041412440 citedByCount "0" @default.
• W3041412440 crossrefType "journal-article" @default.
• W3041412440 hasAuthorship W3041412440A5005830034 @default.
• W3041412440 hasAuthorship W3041412440A5029481515 @default.
• W3041412440 hasAuthorship W3041412440A5065141526 @default.
• W3041412440 hasBestOaLocation W30414124401 @default.
• W3041412440 hasConcept C105795698 @default.
• W3041412440 hasConcept C111919701 @default.
• W3041412440 hasConcept C119043178 @default.
• W3041412440 hasConcept C129848803 @default.
• W3041412440 hasConcept C161584116 @default.
• W3041412440 hasConcept C18747219 @default.
• W3041412440 hasConcept C199163554 @default.
• W3041412440 hasConcept C33923547 @default.
• W3041412440 hasConcept C41008148 @default.
• W3041412440 hasConcept C58041806 @default.
• W3041412440 hasConcept C89805583 @default.
• W3041412440 hasConcept C9357733 @default.
• W3041412440 hasConceptScore W3041412440C105795698 @default.
• W3041412440 hasConceptScore W3041412440C111919701 @default.
• W3041412440 hasConceptScore W3041412440C119043178 @default.
• W3041412440 hasConceptScore W3041412440C129848803 @default.
• W3041412440 hasConceptScore W3041412440C161584116 @default.
• W3041412440 hasConceptScore W3041412440C18747219 @default.
• W3041412440 hasConceptScore W3041412440C199163554 @default.
• W3041412440 hasConceptScore W3041412440C33923547 @default.
• W3041412440 hasConceptScore W3041412440C41008148 @default.
• W3041412440 hasConceptScore W3041412440C58041806 @default.
• W3041412440 hasConceptScore W3041412440C89805583 @default.
• W3041412440 hasConceptScore W3041412440C9357733 @default.
• W3041412440 hasIssue "7S" @default.
• W3041412440 hasLocation W30414124401 @default.
• W3041412440 hasLocation W30414124402 @default.
• W3041412440 hasOpenAccess W3041412440 @default.
• W3041412440 hasPrimaryLocation W30414124401 @default.
• W3041412440 hasRelatedWork W2061095218 @default.
• W3041412440 hasRelatedWork W2065781992 @default.
• W3041412440 hasRelatedWork W2113676816 @default.
• W3041412440 hasRelatedWork W2155415527 @default.
• W3041412440 hasRelatedWork W3000300768 @default.
• W3041412440 hasRelatedWork W3021292873 @default.
• W3041412440 hasRelatedWork W3041412440 @default.
• W3041412440 hasRelatedWork W3094251544 @default.
• W3041412440 hasRelatedWork W3166949638 @default.
• W3041412440 hasRelatedWork W4285727872 @default.
• W3041412440 hasVolume "52" @default.
• W3041412440 isParatext "false" @default.
• W3041412440 isRetracted "false" @default.
• W3041412440 magId "3041412440" @default.
• W3041412440 workType "article" @default.