Analyzing Overdispersed Antenatal Care Count Data in Bangladesh: Mixed Poisson Regression with Individual-Level Random Effects
Poisson regression (PR) is commonly used as the base model for analyzing count data with the restrictive equidispersion property. However, overdispersed nature of count data is very common in health sciences. In such cases, PR produces misleading inferences and hence give incorrect interpretations o...
Main Authors: | Zakir Hossain, Maria |
---|---|
Format: | Article |
Language: | English |
Published: |
Austrian Statistical Society
2021-07-01
|
Series: | Austrian Journal of Statistics |
Online Access: | https://www.ajs.or.at/index.php/ajs/article/view/1163 |
Similar Items
-
Count data analysis using poisson regression and handling of overdispersion
by: Zainordin, Raihana
Published: (2009) -
Count data analysis using poisson regression and handling of overdispersion /
by: 489989 Raihana Zainordin, et al.
Published: (2009) -
Detecting overdispersion in count data: a zero-inflated poisson regression analysis
by: Muhamad Jamil, Siti Afiqah, et al.
Published: (2017) -
Count data analysis using poisson regression and handling of overdispersion [electronic resource] /
by: 489989 Raihana Zainordin, et al.
Published: (2009) -
Discrete Extension of Poisson Distribution for Overdispersed Count Data: Theory and Applications
by: Mohamed S. Eliwa, et al.
Published: (2023-01-01)