Evaluation of machine learning methods for covariate data imputation in pharmacometrics

• 主要な著者: Dominic Stefan Bräm (著者), Uri Nahum (著者), Andrew Atkinson (著者), Gilbert Koch (著者), Marc Pfister (著者)
• フォーマット: 図書
• 出版事項: Wiley, 2022-12-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract Missing data create challenges in clinical research because they lead to loss of statistical power and potentially to biased results. Missing covariate data must be handled with suitable approaches to prepare datasets for pharmacometric analyses, such as population pharmacokinetic and pharm...