Journal article
EFFECTS OF DIFFERENT TYPE OF COVARIATES AND SAMPLE SIZE ON PARAMETER ESTIMATION FOR MULTINOMIAL LOGISTIC REGRESSION MODEL
Jurnal teknologi. A, Pembuatan, bahan termaju, tenaga dan pengangkutan, Vol.78(12-3), pp.155-161
01/01/2016
DOI: 10.11113/jt.v78.10036
Abstract
The sample size and distributions of covariate may affect many statistical modeling techniques. This paper investigates the effects of sample size and data distribution on parameter estimates for multinomial logistic regression. A simulation study was conducted for different distributions (symmetric normal, positively skewed, negatively skewed) for the continuous covariates. In addition, we simulate categorical covariates to investigate their effects on parameter estimation for the multinomial logistic regression model. The simulation results show that the effect of skewed and categorical covariate reduces as sample size increases. The parameter estimates for normal distribution covariate apparently are less affected by sample size. For multinomial logistic regression model with a single covariate study, a sample size of at least 300 is required to obtain unbiased estimates when the covariate is positively skewed or is a categorical covariate. A much larger sample size is required when covariates are negatively skewed.
Details
- Title: Subtitle
- EFFECTS OF DIFFERENT TYPE OF COVARIATES AND SAMPLE SIZE ON PARAMETER ESTIMATION FOR MULTINOMIAL LOGISTIC REGRESSION MODEL
- Creators
- Hamzah Abdul Hamida - Univ Teknol MARA, Fac Comp & Math Sci, Shah Alam 40450, Selangor, MalaysiaYap Bee Wah - Universiti Teknologi MARAXian-Jin Xie - The University of Texas Southwestern Medical Center
- Resource Type
- Journal article
- Publication Details
- Jurnal teknologi. A, Pembuatan, bahan termaju, tenaga dan pengangkutan, Vol.78(12-3), pp.155-161
- DOI
- 10.11113/jt.v78.10036
- ISSN
- 0127-9696
- eISSN
- 2180-3722
- Publisher
- Penerbit Utm Press
- Number of pages
- 7
- Grant note
- Tabung Amanah Pembangunan Pelajar (TAPA) Universiti Teknologi MARA Malaysia Ministry of Higher Education of Malaysia; Ministry of Education, Malaysia
- Language
- English
- Date published
- 01/01/2016
- Academic Unit
- Preventive and Community Dentistry; Biostatistics; Dental Research
- Record Identifier
- 9984367644502771
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