Results 31 to 40 of about 193,873 (254)

Investigating Some Imputation Methods of Multivariate Imputation Chained Equations

European Journal of Mathematics and Statistics, 2022
This paper investigates three MICE methods: Predictive Mean Matching (PMM), Quantile Regression-based Multiple Imputation (QR-basedMI) and Simple Random Sampling Imputation (SRSI) at imputation numbers 5, 15, 20 and 30 with 5% and 20% missing values, to ascertain the one that produces imputed values that best matches the observed values and compare the
M. T. Nwakuya, E. O. Biu
openaire   +1 more source

Machine Learning on Biomedical Datasets: Solving the Missing Values Problem without Imputation Methods

Applied Medical Informatics, 2021
Background: Not all datasets are created equal. There are some happy scenarios when the researcher has the luxury of curating the dataset and ensuring all the desired fields are filled.
Marius FERSIGAN, Marius MĂRUȘTERI
doaj  

Efficient Difference and Ratio-Type Imputation Methods under Ranked Set Sampling

Axioms, 2023
It is well known that ranked set sampling (RSS) is more efficient than simple random sampling (SRS). Furthermore, the presence of missing data vitiates the conventional results.
Shashi Bhushan, Anoop Kumar, Tolga Zaman, Aned Al Mutairi   +3 more
doaj   +1 more source

Assessment of the performance of hidden Markov models for imputation in animal breeding

Genetics Selection Evolution, 2018
Background In this paper, we review the performance of various hidden Markov model-based imputation methods in animal breeding populations. Traditionally, pedigree and heuristic-based imputation methods have been used for imputation in large animal ...
Andrew Whalen, Gregor Gorjanc, Roger Ros-Freixedes, John M. Hickey   +3 more
doaj   +1 more source

An efficient ensemble method for missing value imputation in microarray gene expression data

BMC Bioinformatics, 2021
Background The genomics data analysis has been widely used to study disease genes and drug targets. However, the existence of missing values in genomics datasets poses a significant problem, which severely hinders the use of genomics data.
Xinshan Zhu, Jiayu Wang, Biao Sun, Chao Ren, Ting Yang, Jie Ding   +5 more
doaj   +1 more source

A Pattern-Recognition-Based Ensemble Data Imputation Framework for Sensors from Building Energy Systems

Sensors, 2020
Building operation data are important for monitoring, analysis, modeling, and control of building energy systems. However, missing data is one of the major data quality issues, making data imputation techniques become increasingly important.
Liang Zhang
doaj   +1 more source

Multiple Imputation in a Longitudinal Cohort Study: A Case Study of Sensitivity to Imputation Methods [PDF]

American Journal of Epidemiology, 2014
Multiple imputation has entered mainstream practice for the analysis of incomplete data. We have used it extensively in a large Australian longitudinal cohort study, the Victorian Adolescent Health Cohort Study (1992-2008). Although we have endeavored to follow best practices, there is little published advice on this, and we have not previously ...
Romaniuk, Helena, Patton, George C., Carlin, John B.   +2 more
openaire   +4 more sources

Outcome-sensitive multiple imputation: a simulation study

BMC Medical Research Methodology, 2017
Background Multiple imputation is frequently used to deal with missing data in healthcare research. Although it is known that the outcome should be included in the imputation model when imputing missing covariate values, it is not known whether it should
Evangelos Kontopantelis, Ian R. White, Matthew Sperrin, Iain Buchan   +3 more
doaj   +1 more source

A multiple-phenotype imputation method for genetic studies [PDF]

Nature Genetics, 2016
Genetic association studies have yielded a wealth of biological discoveries. However, these studies have mostly analyzed one trait and one SNP at a time, thus failing to capture the underlying complexity of the data sets. Joint genotype-phenotype analyses of complex, high-dimensional data sets represent an important way to move beyond simple genome ...
Andrew Dahl, Valentina Iotchkova, Amelie Baud, Åsa Johansson, Ulf Gyllensten, Nicole Soranzo, Richard Mott, Andreas Kranis, Jonathan Marchini   +8 more
openaire   +5 more sources

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source