Comparison of single and mice imputation methods for missing values: A simulation study

QR Code

Comparison of single and mice imputation methods for missing values: A simulation study

High quality data is essential in every field of research for valid research findings. The presence of missing data in a dataset is common and occurs for a variety of reasons such as incomplete responses, equipment malfunction and data entry error. Single and multiple data imputation methods have be...

Full description

Bibliographic Details
Published in:	Pertanika Journal of Science and Technology
Main Author:	Pauzi N.A.M.; Wah Y.B.; Deni S.M.; Rahim S.K.N.A.; Suhartono
Format:	Article
Language:	English
Published:	Universiti Putra Malaysia Press 2021
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106861952&doi=10.47836%2fpjst.29.2.15&partnerID=40&md5=33c00e57e50b9f865aebb2fc1868ed20

Similar Items

A comparison of model-based imputation methods for handling missing predictor values in a linear regression model: A simulation study
by: Hasan H.; Ahmad S.; Osman B.M.; Sapri S.; Othman N.
Published: (2017)

Estimation of missing values in air pollution dataset by using various imputation methods
by: Sukatis F.F.; Noor N.M.; Zakaria N.A.; Ul-Saufie A.Z.; Suwardi A.
Published: (2019)

Comparison of Multiple Regression and Model Averaging Model-Building Approach for Missing Data with Multiple Imputation
by: Abdullah M.A.A.; Jessintha L.; Khuneswari G.P.; Jamil S.A.M.; Olaniran O.R.
Published: (2024)

Time Series Data and Recent Imputation Techniques for Missing Data: A Review
by: Zainuddin A.; Hairuddin M.A.; Yassin A.I.M.; Latiff Z.I.A.; Azhar A.
Published: (2022)

Missing River Discharge Data Imputation Approach using Artificial Neural Network
by: Mispan M.R.; Rahman N.F.A.; Ali M.F.; Khalid K.; Bakar M.H.A.; Haron S.H.
Published: (2015)

Imputation Analysis for Time Series Air Quality (PM10) Data Set: A Comparison of Several Methods
by: Shaadan N.; Rahim N.A.M.
Published: (2019)

Missing data imputation of MAGDAS-9’s ground electromagnetism with supervised machine learning and conventional statistical analysis models
by: H. M.A.; K.A. N.D.; Md Tahir N.; Iffah Abd Latiff Z.; Huzaimy Jusoh M.; Akimasa Y.
Published: (2022)

Comparisons of imputation methods on different types of survey research data: A continuous variable
by: Rahman H.A.A.; Hidayat T.; Rahman A.A.; Razif A.M.
Published: (2024)

Application of functional data analysis for the treatment of missing air quality data
by: Shaadan N.; Deni S.M.; Jemain A.A.
Published: (2015)

A comparative analysis of estimation missing rainfall data using spatial interpolation and probabilistic methods
by: Afpidin N.S.N.; Raafi'U S.A.A.; Ismail S.R.; Fairos N.N.I.; Azidan N.S.D.; Fairos A.B.M.; Deni S.M.; Radi N.F.A.
Published: (2024)

The Effectiveness of a Probabilistic Principal Component Analysis Model and Expectation Maximisation Algorithm in Treating Missing Daily Rainfall Data
by: Chuan Z.L.; Deni S.M.; Fam S.-F.; Ismail N.
Published: (2020)

Comparisons of ADABOOST, KNN, SVM and logistic regression in classification of imbalanced dataset
by: Rahman H.A.A.; Wah Y.B.; He H.; Bulgiba A.
Published: (2015)

Comparison of missing metal defect formation on He in-situ and furnace annealed electroplated copper films
by: Wahab Y.A.; Ahmad A.F.; Awang Z.
Published: (2006)

Prediction of missing data in rainfall dataset by using simple statistical method
by: Mohd Jafri I.A.; Noor N.M.; Ul-Saufie A.Z.; Suwardi A.
Published: (2020)

Preliminary study on multiple imputation for nonresponse in survey data with feature selection
by: Jasin A.M.; Asmat A.
Published: (2023)

The Effectiveness of a Probabilistic Principal Component Analysis Model and Expectation Maximisation Algorithm in Treating Missing Daily Rainfall Data (vol 56, pg 119, 2019)
by: Chuan, et al.
Published: (2024)

Correction to: The Effectiveness of a Probabilistic Principal Component Analysis Model and Expectation Maximisation Algorithm in Treating Missing Daily Rainfall Data (Asia-Pacific Journal of Atmospheric Sciences, (2020), 56, 1, (119-129), 10.1007/s13143-019-00135-8)
by: Chuan Z.L.; Deni S.M.; Fam S.-F.; Ismail N.
Published: (2024)

Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia
by: Ng J.L.; Huang Y.F.; Chong A.H.; Ahmed A.N.; Syamsunurc D.
Published: (2024)

Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia
by: Ng, et al.
Published: (2024)

Effect of Sucrose on Cisplatin-induced Fatigue-like Behavior in Mice: Comparison With Fructose and Glucose
by: Yoshizawa K.; Kurono R.; Sato H.; Ishijima E.; Nasu H.; Ferdaos N.; Suzuki H.; Negishi K.
Published: (2021)

Comparison of ensemble hybrid sampling with bagging and boosting machine learning approach for imbalanced data
by: Malek N.H.A.; Yaacob W.F.W.; Wah Y.B.; Md Nasir S.A.; Shaadan N.; Indratno S.W.
Published: (2023)

Simulation in single and multi-flow direction of airflow sensor
by: Abdullah S.C.; Amari M.D.B.; Sabil A.S.B.A.
Published: (2018)

Optimization of MEH-PPV Based Single and Double-Layer TOLED Structure by Numerical Simulation
by: Kersenan T.; Zakaria N.F.; Shaari S.; Sabani N.; Juhari N.; Ahmad M.F.; Rahim A.F.A.
Published: (2021)

Assessing the Multiple Imputation Approach for Univariate Time Series Data of Geomagnetic Disturbance Event in Solar Cycle 24
by: Zainuddin A.; Hairuddin M.A.; Jusoh M.H.; Hashim M.H.; Benavides I.F.; Yassin A.I.M.
Published: (2023)

The connection between missing school and Indigenous community: challenges and complexities
by: Zamzuri N.H.; Hanafiah M.H.; Suzila T.I.; Mat Nor N.; Rosnan H.
Published: (2023)

Missing data exploration in air quality data set using r-package data visualisation tools
by: Ghazali S.M.; Shaadan N.; Idrus Z.
Published: (2020)

Comparison of Non-Alcoholic Fatty Liver Disease (NAFLD) Model using Diet-Induced NAFLD Mice with Genetically Modified Mice; [Perbandingan Model Penyakit Hati Berlemak (NAFLD) menggunakan Tikus NAFLD Diet-Teraruh dengan Tikus Terubah Suai secara Genetik]
by: Goon M.D.M.E.; Ab Rahim S.; Abd Latip N.; Aziz M.A.; Noor N.M.; Weih L.S.; Mazlan M.; Kadir S.H.S.A.
Published: (2022)

CSSD-YOLO: A Modified YOLOv5 Method for Solder Joint Defect Detection
by: Ang L.; Hamzah R.; Rahim S.K.N.A.; Yousheng G.; Samah K.A.F.A.
Published: (2023)

Comparison of conventional measures of skewness and kurtosis for small sample size
by: Binti Yusoff S.; Bee Wah Y.
Published: (2012)

Effect of Thermoelectric Legs on Electrical Performance of Single Leg Teg using Multiphyiscs Simulation
by: Omar S.F.N.S.; Burham N.; Muhamad M.; Aziz A.A.
Published: (2024)

Comparison of cancer stem cell enrichment between spheroids derived from single-cell and multicellular aggregate cultures
by: Hairuddin O.N.; Yahaya B.H.; Ibahim M.J.; Verakumarasivam A.; Choy C.S.; Mazlan M.; Rahim N.A.; Dzulkarnain S.M.H.; Mansor S.F.
Published: (2023)

Combination of Boruta's Algorithm and Lasso Logistic Regression in Establishing Blood-Based Biomarkers for Alzheimer's Disease
by: Abdullah M.N.; Wah Y.B.
Published: (2024)

Evaluation of Machine Learning Models for Breast Cancer Detection in Microarray Gene Expression Profiles
by: Abdullah M.N.; Wah Y.B.
Published: (2024)

Advocating sustainable building paradigm through value management
by: Abd-Karim S.B.; Wah H.W.; Jaapar A.; Suhaimi M.S.N.M.; Ali Berawi M.
Published: (2017)

Identifying Missing Data Mechanisms Among Incomplete Air Pollution Datasets in Malaysia
by: Libasin Z.; Ul-Saufie A.Z.; Ahmat H.; Shaziayani W.N.; Al-Jumeily D.
Published: (2024)

Comparison of NeedleTrainer™ and ultrasound tissue simulator in a simulated environment among novice regional anaesthesia practitioners
by: Mokhtar M.N.; Suhaini S.A.; Chan W.K.; Khalid I.; Tan K.W.; Lim A.C.C.; Budiman M.; Samsudin A.; Azizeh A.; Spor Madiman V.V.; Izaham A.
Published: (2024)

Comparison of NeedleTrainer™ and ultrasound tissue simulator in a simulated environment among novice regional anaesthesia practitioners
by: Mokhtar, et al.
Published: (2024)

Comparison of the acoustical performance of mihrab design in mosques using computer simulation studies
by: Din N.C.; Adzahan Z.; Razak A.S.; Abdullah Z.; Jusoh M.Z.; Dimon M.N.
Published: (2015)

Covariates and sample size effects on parameter estimation for binary logistic regression model
by: Hamid H.A.; Wah Y.B.; Xie X.-J.
Published: (2016)

An evaluation of nature-inspired optimization algorithms and machine learning classifiers for electricity fraud prediction
by: Kamaruddin A.S.; Hadrawi M.F.; Wah Y.B.; Aliman S.
Published: (2023)