Case-By-Case MET-Analysis from a Bayesian Perspective
| المصدر: | مجلة التجارة والتمويل |
|---|---|
| الناشر: | جامعة طنطا - كلية التجارة |
| المؤلف الرئيسي: | Al-Tayeb, Lobna Eid (Author) |
| المجلد/العدد: | ع3 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2021
|
| الشهر: | سبتمبر |
| الصفحات: | 115 - 131 |
| DOI: |
10.21608/caf.2021.199349 |
| ISSN: |
1110-4716 |
| رقم MD: | 1215266 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Bayesian Inference | Meta-Analysis | Combined Analysis | Dersimonian and Laird Model
|
| رابط المحتوى: |
عدد مرات التحميل
1
| المستخلص: |
Due to the advancement of science and the tendency to use the smallest of humans-in needless clinical trials in many situations, the role of meta-analysis to summarize published study with the same objective, using statistics is becoming more and more fundamental. The integration of the knowledge available makes it easier to understand and allows strong conclusions. For example, increasing the number of clinical trials encourages a rising need to conduct meta-analyses, making complexity possible. The purpose of the research was therefore to suggest a Bayesian meta-analytical methodology. Bayesian method was proposed to carry out a case-by-case meta-analysis. The procedure was based on the mixture of the posterior distributions of the parameter in question from each study that is a percentage of the meta-analysis, thus producing a combined posterior distribution as a meta-analytical measure. In addition, a brief comparison is made between the proposed method and some methods used in meta-analysis. Some examples are presented and discussed. |
|---|---|
| ISSN: |
1110-4716 |
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