شماره ركورد كنفرانس :
3140
عنوان مقاله :
Bayesian Semi - parametric Meta - Regression for Count Data
عنوان به زبان ديگر :
Bayesian Semi - parametric Meta - Regression for Count Data
پديدآورندگان :
Eskandari Farzad نويسنده Department of Statistics - Allameh Tabatabai University -Tehran , Ormoz Ehsan نويسنده Department of Statistics - Allameh Tabatabai University -Tehran , Meshkanio M. R نويسنده Department of Statistics - hahid Behshti University - Tehran
كليدواژه :
Bakyesian Model Selection , Bayesian Semi-parametrie , Multinomial distribution , Meta-regression , Model
عنوان كنفرانس :
يازدهمين كنفرانس آمار ايران
چكيده لاتين :
The Bayesian semi-parametric analysis is widely used as a new methodology in clinical trials and meta-anals In this paper, we study the behavior of meta-regression analysis in a Bayesian semi-parametric model. This article introduces a method for computing the posterior distribution using the meta-regression. A Bayesian semi-parametric model with covariates is used to study the specific effects of the treatment and covariates. For estimating the posterior distributions under the model, we employ the Gibbs sampling. Finally, the proposed model is illustrated with a real example.
شماره مدرك كنفرانس :
4219389
