Evaluating the Performance of Mixed Zero-Inflated Poisson Regression Models with Time-Dependent and Time-Independent Covariates
| المصدر: | المجلة العلمية لجامعة الملك فيصل - العلوم الأساسية والتطبيقية |
|---|---|
| الناشر: | جامعة الملك فيصل |
| المؤلف الرئيسي: | Alomair, Gadir (Author) |
| المجلد/العدد: | مج25, ع1 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2024
|
| الصفحات: | 30 - 34 |
| ISSN: |
1658-0311 |
| رقم MD: | 1478278 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Correlated Data | Count Data | Excess Zeros | Longitudinal | Mixed Models | Model Fit
|
| رابط المحتوى: |
| المستخلص: |
One of the issues that researchers may encounter in count data is having many zeros. One of the solutions to model these data is using zero-inflated Poisson (ZIP) regression models. Recently, researchers have started to model longitudinal count data with time-dependent covariates. However, it has not been considered whether a model with time-dependent covariates provides a better fit than a model with time independent covariates. In this paper, the fit between a mixed ZIP model with time dependent covariates and a mixed ZIP model with time-independent covariates is compared using simulation. Using the deviance information criterion as a measure of fit, we found that the model with time-dependent covariates exhibits a better fit than the model with time-independent covariates. |
|---|---|
| ISSN: |
1658-0311 |
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