Decision Sciences
8 years ago

New models revolutionize health data analysis for children with Thalassemia.

1 view
Journal of Modern Applied Statistical Methods
Modeling and Handling Overdispersion Health Science Data with Zero-Inflated Poisson Model
Nur Syabiha binti Zafakali, Wan Muhamad Amir W Ahmad

Paper Summary

The article discusses how to analyze health data with lots of zeros and extra variability. Researchers used different models like ZIP, ZINB, and ZIGP to handle this type of data. They found that the ZINB model is good for dealing with overdispersion in count data. The study focused on children with Thalassemia disease to show how these models can help understand and analyze health information better.

Related papers

Economics, Econometrics and Finance
8 years ago

New models reveal hidden patterns in Congressional responses to Supreme Court decisions.

Health Economics
Economic Analysis
Law and Economics
Theme background image
Computer Science
3 years ago

Hurdle Poisson Model Outperforms in Diphtheria Disease Modeling in West Sumatra

Data Mining
Expert Systems Development
Digital Image Processing
Theme background image
Mathematics
3 years ago

New models revolutionize data analysis for better societal predictions.

Missing Data
2 views