Zero-inflated negative binomial modeling, efficiency for analysis of length of maternity hospitalization
Background: Mothers’ delivery is one of the most common hospitalization factors throughout the world and it’s modeling can explain distribution and effective factors on rising and decreasing of it. The objective of the present study was a suitable modeling for mother hospitalization time and compari...
Main Authors: | mohammad Rafiee, mohammad taghi Ayatollahi, javad Behboodian |
---|---|
Format: | Article |
Language: | fas |
Published: |
Lorestan University of Medical Science
2005-02-01
|
Series: | Yafteh |
Subjects: | |
Online Access: | http://yafte.lums.ac.ir/browse.php?a_code=A-10-1-252&slc_lang=en&sid=1 |
Similar Items
-
Comparing Performance of ANOVA to Poisson and Negative Binomial Regression When Applied to Count Data
by: Soumare, Ibrahim
Published: (2021) -
Double Generalized Beta-Binomial and Negative Binomial Regression Models
by: EDILBERTO CEPEDA-CUERVO, et al.
Published: (2017-01-01) -
A generalization of the negative binomial distribution
by: Maryam Nazemipour, et al.
Published: (2017-08-01) -
Justification for considering zero-inflated models in crash frequency analysis
by: Timo Pew, et al.
Published: (2020-11-01) -
Too many zeros and/or highly skewed? A tutorial on modelling health behaviour as count data with Poisson and negative binomial regression
by: James A. Green
Published: (2021-01-01)