Cargando…
Count data regression modeling: an application to spontaneous abortion
BACKGROUND: In India, around 20,000 women die every year due to abortion-related complications. In count data modeling, there is sometimes a prevalence of zero counts. This article is concerned with the estimation of various count regression models to predict the average number of spontaneous aborti...
Autores principales: | Verma, Prashant, Swain, Prafulla Kumar, Singh, Kaushalendra Kumar, Khetan, Mukti |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346466/ https://www.ncbi.nlm.nih.gov/pubmed/32641058 http://dx.doi.org/10.1186/s12978-020-00955-2 |
Ejemplares similares
-
Statistical models for longitudinal zero-inflated count data: application to seizure attacks
por: Mekonnen, Fenta Haile, et al.
Publicado: (2019) -
Pregnancy risk during menstrual cycle: misconceptions among urban men in India
por: Verma, Prashant, et al.
Publicado: (2017) -
The role of change in fertility desire on change in family planning use: A longitudinal investigation in urban Uttar Pradesh, India
por: Srivastava, Ujjaval, et al.
Publicado: (2019) -
Regression Analysis of Count Data
por: Cameron, A Colin, et al.
Publicado: (1998) -
Correlation of Copper and Zinc in Spontaneous Abortion
por: Thaker, Riddhi, et al.
Publicado: (2019)