Covariates and sample size effects on parameter estimation for binary logistic regression model

QR Code

Covariates and sample size effects on parameter estimation for binary logistic regression model

The types of covariate and sample size may influence many statistical methods. This study involves a rigorous Monte Carlo simulation to illustrate the effect of different types of covariate and sample size on parameter estimation for binary logistic regression model. The simulation study covers diff...

Full description

Bibliographic Details
Published in:	Malaysian Journal of Science
Main Author:	Hamid H.A.; Wah Y.B.; Xie X.-J.
Format:	Article
Language:	English
Published:	Malaysian Abstracting and Indexing System 2016
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031934401&doi=10.22452%2fmjs.vol35no1.7&partnerID=40&md5=358dad442cca3f4998c587dcf13efaa6

Similar Items

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)

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)

Interval estimation for parameters of Bathtub hazard model with fixed covariate in the presence of right and interval censored data
by: Ismail I.; Arasan J.; Mustafa M.S.; Safari M.A.M.
Published: (2024)

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

Effects of stress and self-efficacy on quality of life of mothers with autistic children: Covariance-Based Structural Equation Modeling (CB-SEM) approach
by: Wah Y.B.; Nasir N.N.M.; Hadrawi M.F.; Kamaruddin A.A.; Jannoo Z.; Afthanorhan A.
Published: (2024)

Effect of swarm size parameter on Binary Particle Swarm optimization-based NARX structure selection
by: Yassin I.M.; Taib M.N.; Adnan R.; Salleh M.K.M.; Hamzah M.K.
Published: (2012)

Application of R programming in education: Logistic regression approach
by: Mohamed A.S.T.; Adnan N.I.M.; Razali F.A.; Hassim N.H.; Norshahidi N.D.
Published: (2024)

Logistic Regression Model for Evaluating Performance of Construction, Technology and Property-Based Companies in Malaysia
by: Ishak S.S.; Ilias M.R.; Nayan A.; Abdul Rahim A.H.; Morat B.N.
Published: (2024)

Comparing the performance of adaboost, xgboost, and logistic regression for imbalanced data
by: Shahri N.H.N.B.M.; Lai S.B.S.; Mohamad M.B.; Rahman H.A.B.A.; Rambli A.B.
Published: (2021)

A REVIEW OF METHODS AND REGRESSION MODELS USING SATELLITE IMAGERIES ON PHYTOPLANKTON'S WATER QUALITY PARAMETERS ESTIMATION
by: Muhamad, et al.
Published: (2023)

Outlier detection in logistic regression and its application in medical data analysis
by: Ahmad S.; Ramli N.M.; Midi H.
Published: (2012)

Effects of stress and self-efficacy on quality of life of mothers with autistic children: Covariance-Based Structural Equation Modeling (CB-SEM) approach
by: Wah, et al.
Published: (2024)

A stepwise logistic regression analysis: An application toward poultry farm data in Johor
by: Jamil S.A.M.; Abdullah M.A.A.; Long K.S.; Jupri N.F.M.; Mamat M.
Published: (2018)

Accuracy and bias of the rasch rating scale person estimates using maximum likelihood approach: A comparative study of various sample sizes
by: Azizan N.H.; Mahmud Z.; Rambli A.
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)

Sample Size and Color Effects on the Performance of a Mobile Solar Dehydrator
by: Halidi S.N.A.M.; Zainudin M.; Shaari N.S.; Abdullah N.S.; Rosli A.A.A.
Published: (2024)

Comparative Analysis of Regression Techniques for Software Effort Estimation
by: Jayadi P.; Ahmad K.A.B.
Published: (2023)

Rasch measurement model: A review of Bayesian estimation for estimating the person and item parameters
by: Binti Azizan N.H.; Mahmud Z.B.; Rambli A.B.
Published: (2019)

Design of corporate human capital value measurement model based on binary tree
by: Jiang D.; Huang X.
Published: (2024)

Application of binary firefly algorithm (BFA) in tuning pid parameters for couple tank system
by: Azahar A.H.; Samsudin A.; Wai Y.K.; Abidin A.F.Z.; Rifin R.; Harun M.H.; Karis M.S.; Azmi E.F.; Mohd. Nordin I.N.A.
Published: (2021)

Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
by: Yong, et al.
Published: (2024)

Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
by: Yong S.L.S.; Ng J.L.; Huang Y.F.; Ang C.K.; Ahmad Kamal N.; Mirzaei M.; Najah Ahmed A.
Published: (2024)

Assessing the prevalence of obesity and overweight amongst senior citizens in Selangor, Malaysia using logistic regression, artificial neural network and decision tree
by: Haron N.A.; Ramli N.A.; Ismail N.Z.-I.
Published: (2024)

INTERVAL ESTIMATION FOR PARAMETERS OF A BATHTUB HAZARD MODEL; [Penganggaran Selang untuk Parameter Model Hazad Tab Mandi]
by: Ismail I.; Arasan J.; Mustafa M.S.; Safari M.A.M.
Published: (2024)

Partial Robust M-Regression Estimator in the Presence of Multicollinearity and Vertical Outliers
by: Noh N.H.M.; Moktar B.; Yusoff S.; Majid M.N.A.
Published: (2020)

Parameter estimation for strict arcsine distribution
by: Low, et al.
Published: (2024)

Parameter estimation for strict arcsine distribution
by: Low Y.-C.; Phang Y.-N.; Khoo W.-C.; Ong S.-H.
Published: (2024)

Halal logistics PEST Analysis: The Malaysia perspectives
by: Syazwan Ab Talib M.; Bakar Abdul Hamid A.; Hafiz Zulfakar M.; Jeeva A.S.
Published: (2014)

Uncertain Parameters Estimation using Multi-Dimensional Analysis and Stochastic Model Updating
by: Shah M.A.S.A.; Yunus M.A.; Rani M.N.A.
Published: (2022)

An estimation of market size for microfinance: study on the urban microentrepreneurs in Selangor, Malaysia
by: Hassan S.; Alam M.M.; Rahman R.A.
Published: (2015)

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

Customer reactions to service failure and recovery in the restaurant industry: A covariance-based sem approach
by: Abd Rashid M.H.; Ahmad F.S.; Hasanordin R.
Published: (2016)

Measuring the performances of covariates using exponential survival analysis with partly-interval censored simulation data
by: Jamil S.A.M.; Lai J.; Abdullah M.A.A.
Published: (2024)

Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA)
by: Ul-Saufie A.Z.; Yahaya A.S.; Ramli N.A.; Rosaida N.; Hamid H.A.
Published: (2013)

Design of corporate human capital value measurement model based on binary tree
by: Jiang, et al.
Published: (2024)

Enhancing Audio Signal Quality and Learning Experience with Integrated Covariance Weiner Filtering in College Music Education
by: Yang M.
Published: (2023)

Effects on parameter estimates and goodness of fit measures: Comparing item-level and item-parcel models in structural equation modeling
by: Kamaruddin A.A.; Yap B.W.; Deni S.M.
Published: (2020)

Panel Count Data Models: Examining Dengue Incidence in Malaysia
by: Yaacob W.F.W.; Sapri N.N.F.F.; Wah Y.B.
Published: (2023)

Collaborative insights on horizontal logistics to integrate supply chain planning and transportation logistics planning – A systematic review and thematic mapping
by: Abideen A.Z.; Sorooshian S.; Sundram V.P.K.; Mohammed A.
Published: (2023)

Modelling dengue fever (DF) and dengue haemorrhagic fever (DHF) outbreak using Poisson and Negative Binomial model
by: Fairos W.Y.W.; Azaki W.H.W.; Alias L.M.; Wah Y.B.
Published: (2010)