Cargando…
Analysis of sparse data in logistic regression in medical research: A newer approach
BACKGROUND AND OBJECTIVE: In the analysis of dichotomous type response variable, logistic regression is usually used. However, the performance of logistic regression in the presence of sparse data is questionable. In such a situation, a common problem is the presence of high odds ratios (ORs) with v...
Autores principales: | Devika, S, Jeyaseelan, L, Sebastian, G |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944325/ https://www.ncbi.nlm.nih.gov/pubmed/26732193 http://dx.doi.org/10.4103/0022-3859.173193 |
Ejemplares similares
-
Leukemia Prediction Using Sparse Logistic Regression
por: Manninen, Tapio, et al.
Publicado: (2013) -
Logistic Regression in Medical Research
por: Schober, Patrick, et al.
Publicado: (2021) -
Bias in Odds Ratios From Logistic Regression Methods With Sparse Data Sets
por: Gosho, Masahiko, et al.
Publicado: (2023) -
Sparse Ordinal Logistic Regression and Its Application to Brain Decoding
por: Satake, Emi, et al.
Publicado: (2018) -
Ordinal Logistic Regression in Medical Research
por: Bender, Ralf, et al.
Publicado: (1997)