Summarizing the extent of visit irregularity in longitudinal data

by Armend Lokku, Lily S. Lim, Catherine S. Birken, Eleanor M. Pullenayegum, on behalf of the TARGet Kids! Collaboration
Published 2020-05-01

Handling Complex Missing Data Using Random Forest Approach for an Air Quality Monitoring Dataset: A Case Study of Kuwait Environmental Data (2012 to 2018)

by Ahmad R. Alsaber, Jiazhu Pan, Adeeba Al-Hurban 
Published 2021-02-01

Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism

by Na Shan, Na Shan, Xiaofei Wang, Xiaofei Wang
Published 2020-11-01

Nonrespondent Subsample Multiple Imputation in Two-Phase Sampling for Nonresponse

by Zhang Nanhua, Chen Henian, Elliott Michael R.
Published 2016-09-01

Methodology for Handling Missing Data in Nonlinear Mixed Effects Modelling

by Johansson, Åsa M.
Published 2014

Generating Synthetic Missing Data: A Review by Missing Mechanism

by Miriam Seoane Santos, Ricardo Cardoso Pereira, Adriana Fonseca Costa, Jastin Pompeu Soares, Joao Santos, Pedro Henriques Abreu
Published 2019-01-01

Methylation data imputation performances under different representations and missingness patterns

by Pietro Di Lena, Claudia Sala, Andrea Prodi, Christine Nardini
Published 2020-06-01

How to deal with missing longitudinal data in cost of illness analysis in Alzheimer’s disease—suggestions from the GERAS observational study

by Mark Belger, Josep Maria Haro, Catherine Reed, Michael Happich, Kristin Kahle-Wrobleski, Josep Maria Argimon, Giuseppe Bruno, Richard Dodel, Roy W Jones, Bruno Vellas, Anders Wimo
Published 2016-07-01

Dealing with Missing Values in Data

by Jiri Kaiser
Published 2014-01-01