A Flexible Skewed Link Model for Ordinal Outcomes: An Application to Infertility

Open Access Macedonian Journal of Medical Sciences

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Field Value
 
Title A Flexible Skewed Link Model for Ordinal Outcomes: An Application to Infertility
 
Creator Chehrazi, Mohammad
Saadat, Seyed Hassan
Hajiahmadi, Mahmoud
Spiroski, Mirko
 
Subject Latent variable
cumulative regression
Markov chain Monte Carlo
ordinal data
skewed link function
 
Description BACKGROUND: An important issue in modeling categorical response data is the choice of the links. The commonly used complementary log-log link is inclined to link misspecification due to its positive and fixed skewness parameter.
AIM: The objective of this paper is to introduce a flexible skewed link function for modeling ordinal data with some covariates.
METHODS: We introduce a flexible skewed link model for the cumulative ordinal regression model based on Chen model.
RESULTS: The main advantage suggested by the proposed links is the skewed link provide much more identifiable than the existing skewed links. The propriety of posterior distributions under proper and improper priors is explored in detail. An efficient Markov chain Monte Carlo algorithm is developed for sampling from the posterior distribution.
CONCLUSION: The proposed methodology is motivated and illustrated by ovary hyperstimulation syndrome data.
 
Publisher Scientific Foundation SPIROSKI, Skopje, Republic of Macedonia
 
Date 2020-04-05
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://www.id-press.eu/mjms/article/view/4386
10.3889/oamjms.2020.4386
 
Source Open Access Macedonian Journal of Medical Sciences; Vol. 8 No. A (2020): A - Basic Sciences; 119-124
1857-9655
 
Language eng
 
Relation https://www.id-press.eu/mjms/article/view/4386/4570
 
Rights Copyright (c) 2020 Mohammad Chehrazi, Seyed Hassan Saadat, Mahmoud Hajiahmadi, Mirko Spiroski (Author)
http://creativecommons.org/licenses/by-nc/4.0
 

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