Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model

Lignende værker

• A comparison of multiple imputation methods for missing data in longitudinal studies
  af: Md Hamidul Huque, et al.
  Udgivet: (2018-12-01)
• A comparison of multiple imputation methods for missing data in longitudinal studies
  af: Huque, Md Hamidul, et al.
  Udgivet: (2018)
• Handling of missing data with multiple imputation in observational studies that address causal questions: protocol for a scoping review
  af: John Carlin, et al.
  Udgivet: (2023-02-01)
• A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study
  af: De Silva, Anurika Priyanjali, et al.
  Udgivet: (2017)
• Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study
  af: Anurika Priyanjali De Silva, et al.
  Udgivet: (2019-01-01)