Finding the Right Distribution for Highly Skewed Zero-inflated Clinical Data
<p>Discrete, highly skewed distributions with excess numbers of zeros often result in biased estimates and misleading inferences if the zeros are not properly addressed. A clinical example of children with electrophysiologic disorders in which many of the children are treated without surgery i...
Saved in:
| Main Authors: | Resmi Gupta, Bradley S. Marino, James F Cnota, Richard F Ittenbach |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Milano University Press
2013-03-01
|
| Series: | Epidemiology, Biostatistics and Public Health |
| Online Access: | http://ebph.it/article/view/8732 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modeling Time Series with SARIMAX and Skew-Normal and Zero-Inflated Skew-Normal Errors
by: M. Alejandro Dinamarca, et al.
Published: (2025-06-01) -
Maximum-Likelihood Estimation for the Zero-Inflated Polynomial-Adjusted Poisson Distribution
by: Jong-Seung Lee, et al.
Published: (2025-07-01) -
Confidence interval estimation for the difference of censored zero-inflated gamma distributions
by: Hongping Guo, et al.
Published: (2024-11-01) -
A Poisson-Gamma Model for Zero Inflated Rainfall Data
by: Nelson Christopher Dzupire, et al.
Published: (2018-01-01) -
MODELLING ZERO-INFLATED OVER DISPERSED DENGUE DATA VIA ZERO-INFLATED POISSON INVERSE GAUSSIAN REGRESSION MODEL: A CASE STUDY OF BANGLADESH
by: Sukanta Chakraborty, et al.
Published: (2024-04-01)