Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2021.1895087
Abstract: Composite scores are useful in providing insights and trends about complex and multidimensional quality of care processes. However, missing data in subcomponents may hinder the overall reliability ... read more here.
Keywords: handling missing; composite outcome; partially observed; missing data ... See more keywords
A SYSTEMATIC REVIEW ON REPORTING AND HANDLING OF MISSING DATA IN CARDIOVASCULAR TRIALS
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Hypertension"
DOI: 10.1097/01.hjh.0000570320.39233.df
Abstract: Objective:Reporting and handling of missing data have recently received considerable attention. This systematic review has been planned to evaluate the patterns of reporting and handling missing data in cardiovascular clinical trials. In addition, the objective… read more here.
Keywords: handling missing; data cardiovascular; missing data; systematic review ... See more keywords
Handling missing data in a rheumatoid arthritis registry using random forest approach
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Rheumatic Diseases"
DOI: 10.1111/1756-185x.14203
Abstract: Missing data in clinical epidemiological research violate the intention‐to‐treat principle, reduce the power of statistical analysis, and can introduce bias if the cause of missing data is related to a patient's response to treatment. Multiple… read more here.
Keywords: missing values; handling missing; missing data; random forest ... See more keywords
Meta-Analyses Proved Inconsistent in How Missing Data Were Handled Across Their Included Primary Trials: A Methodological Survey
Sign Up to like & getrecommendations! Published in 2020 at "Clinical Epidemiology"
DOI: 10.2147/clep.s242080
Abstract: Background How systematic review authors address missing data among eligible primary studies remains uncertain. Objective To assess whether systematic review authors are consistent in the way they handle missing data, both across trials included in… read more here.
Keywords: handling missing; missing data; analytical method; systematic review ... See more keywords
Handling Missing Data in Growth Mixture Models
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Educational and Behavioral Statistics"
DOI: 10.3102/10769986221149140
Abstract: A Monte Carlo simulation was performed to compare methods for handling missing data in growth mixture models. The methods considered in the current study were (a) a fully Bayesian approach using a Gibbs sampler, (b)… read more here.
Keywords: growth mixture; missing data; handling missing; data growth ... See more keywords