Why Perform Meta-Analysis?

Using Bayesian inference to perform meta-analysis.

Bayesian modeling offers an elegant approach to meta-analysis that efficiently incorporates all sources of variability and relevant quantifiable external information. It provides a more informative summary of the likely value of parameters after observing the data than do non-Bayesian approaches. This leads to direct probabilistic inference about model parameters such as the average treatment e...

Why Perform Epitope Binning?

Epitope Binning # 6.140522 An important step in the engineering of biotherapeutics is to characterize and group a library of monoclonal antibod-ies by the epitope binding regions generated against a specific antigen. This “epitope binning” enables the maintenance of epitope diversity and provides important information to broaden intellectual property protection. IBIS Technologies and Wasatch Mi...

Systematic reviews and meta-analysis of preclinical studies: why perform them and how to appraise them critically

The use of systematic review and meta-analysis of preclinical studies has become more common, including those of studies describing the modeling of cerebrovascular diseases. Empirical evidence suggests that too many preclinical experiments lack methodological rigor, and this leads to inflated treatment effects. The aim of this review is to describe the concepts of systematic review and meta-ana...

Why did the authors perform a meta-analysis of studies with primary endpoints they consider clinically unimportant?

Why Do Government Banks Perform Worse? —A Political Interference View

This study proposes a political interference hypothesis to explain how political considerations depress government banks performance. In here, we define the political interference as the situation in which the executives of government banks are replaced within 12 months after the presidential elections. We classify government banks into political and non-political banks when the government bank...