Sequential modeling for a class of reference‐based imputation methods in clinical trials with quantitative or binary outcomes
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9303
Abstract: We consider treatment effect estimation in a randomized clinical trial with longitudinally measured quantitative or categorical outcomes. To handle missing data, we usually assume missing at random and then conduct sensitivity analysis for missing not… read more here.
Keywords: reference; imputation methods; reference based; treatment ... See more keywords
A model-based imputation procedure for multilevel regression models with random coefficients, interaction effects, and nonlinear terms.
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DOI: 10.1037/met0000228
Abstract: Despite the broad appeal of missing data handling approaches that assume a missing at random (MAR) mechanism (e.g., multiple imputation and maximum likelihood estimation), some very common analysis models in the behavioral science literature are… read more here.
Keywords: model based; imputation; models random; regression models ... See more keywords
On Reference-based Imputation for Analysis of Incomplete Repeated Binary Endpoints
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2021.2011899
Abstract: ABSTRACT Reference-based imputation (RBI) is a popular method for missing data. The methodology is well established for continuous end points but less well developed for repeated binary end points due to the lack of natural… read more here.
Keywords: based imputation; reference; reference based; end points ... See more keywords