Articles with "handling missing" as a keyword



Photo from wikipedia

Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data

Sign Up to like & get
recommendations!
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 & get
recommendations!
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
Photo from wikipedia

Handling missing data in a rheumatoid arthritis registry using random forest approach

Sign Up to like & get
recommendations!
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

Handling missing values in patient-reported outcome data in the presence of intercurrent events

Sign Up to like & get
recommendations!
Published in 2025 at "BMC Medical Research Methodology"

DOI: 10.1186/s12874-025-02510-8

Abstract: As patient-reported outcomes (PROs) are increasingly used in the evaluation of medical treatments, it is important that PROs are carefully analyzed and interpreted. This may be challenging due to substantial missing values. The missingness in… read more here.

Keywords: information; missing pro; handling missing; patient reported ... See more keywords

Handling missing outcomes in time-to-event analyses in randomised controlled trials: a scoping review with a focus on multiple imputation

Sign Up to like & get
recommendations!
Published in 2025 at "BMC Medical Research Methodology"

DOI: 10.1186/s12874-025-02676-1

Abstract: Randomised Controlled Trials (RCTs) are the gold standard for evaluating treatment effects. However, missing outcomes can threaten the validity of the results. Missing data pose a unique challenge in time-to-event analyses, where the event time… read more here.

Keywords: handling missing; missing outcomes; time; review ... 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 & get
recommendations!
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
Photo by ldxcreative from unsplash

Handling Missing Data in Growth Mixture Models

Sign Up to like & get
recommendations!
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