Modeling Zero-inflated Count Data Using Generalized Poisson and Ordinal Logistic Regression Models in Medical Research

Modeling Zero-inflated Count Data Using Generalized Poisson and Ordinal Logistic Regression Models in Medical Research

Objectives: In medical research, the study’s design and statistical methods are pivotal, as they guide interpretation and conclusion. Selecting appropriate statistical models hinges on the distribution of the outcome measure. Count data, frequently used in medical research, often exhibit over-disper...

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Bibliographic Details
Main Authors: Bijesh Yadav, Lakshmanan Jeyaseelan, Marimuthu Sappani, Thenmozhi Mani, Sebastian George, Shrikant I. Bangdiwala
Format: Article
Language:English
Published: Oman Medical Specialty Board 2024-01-01
Series:Oman Medical Journal
Subjects:
logistic models
models
statistical
outcome assessment
health care
Online Access:https://omjournal.org/articleDetails.aspx?coType=1&aId=3644

Internet

https://omjournal.org/articleDetails.aspx?coType=1&aId=3644

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