Evaluation of machine learning methods for covariate data imputation in pharmacometrics
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluation of machine learning methods for covariate data imputation in pharmacometrics
Authors
Keywords
-
Journal
CPT-Pharmacometrics & Systems Pharmacology
Volume 11, Issue 12, Pages 1638-1648
Publisher
Wiley
Online
2022-11-08
DOI
10.1002/psp4.12874
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Modeling of levothyroxine in newborns and infants with congenital hypothyroidism: challenges and opportunities of a rare disease multi-center study
- (2021) Gilbert Koch et al. JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS
- Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction
- (2020) Shangzhi Hong et al. BMC Medical Research Methodology
- Characterizing dynamics of serum creatinine and creatinine clearance in extremely low birth weight neonates during the first 6 weeks of life
- (2020) Tamara van Donge et al. PEDIATRIC NEPHROLOGY
- Methadone dosing strategies in preterm neonates can be simplified
- (2019) Tamara van Donge et al. BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
- Imputation of missing data with neural networks for classification
- (2019) Suvra Jyoti Choudhury et al. KNOWLEDGE-BASED SYSTEMS
- Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable
- (2018) Eric Tchetgen Tchetgen et al. STATISTICA SINICA
- Caffeine Citrate Dosing Adjustments to Assure Stable Caffeine Concentrations in Preterm Neonates
- (2017) Gilbert Koch et al. JOURNAL OF PEDIATRICS
- Nearest neighbor imputation algorithms: a critical evaluation
- (2016) Lorenzo Beretta et al. BMC Medical Informatics and Decision Making
- mice: Multivariate Imputation by Chained Equations inR
- (2015) Stef van Buuren et al. Journal of Statistical Software
- Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study
- (2014) Anoop D. Shah et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Comparison of Methods for Handling Missing Covariate Data
- (2013) Åsa M. Johansson et al. AAPS Journal
- Missing Data in Clinical Studies: Issues and Methods
- (2012) Joseph G. Ibrahim et al. JOURNAL OF CLINICAL ONCOLOGY
- MissForest--non-parametric missing value imputation for mixed-type data
- (2011) D. J. Stekhoven et al. BIOINFORMATICS
- Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example
- (2010) Mirjam J. Knol et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- The Emerging Scientific Discipline of Pharmacometrics
- (2010) Marc Pfister et al. JOURNAL OF CLINICAL PHARMACOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now