Most of the biological studies have embraced statistical approaches to make inferences. It is common to have several independent experiments to test the same null hypothesis. The goal of research on pooling evidence is to combine the results of these tests to ask if there is evidence from the collection of studies to reject the null hypothesis. In this study, we evaluated four different pooling...

BACKGROUND The beta-binomial model is one of the methods that can be used to validly combine event rates from overdispersed binomial data. Our objective is to provide a full description of this method and to update and broaden its applications in clinical and public health research. METHODS We describe the statistical theories behind the beta-binomial model and the associated estimation metho...

We consider the problems arising from using sequences of experiments to discover the causal structure among a set of variables, none of whom are known ahead of time to be an “outcome”. In particular, we present various approaches to resolve conflicts in the experimental results arising from sampling variability in the experiments. We provide a sufficient condition that allows for pooling of dat...

Sparse Coding, a popular feature coding method, has shown superior performance in visual recognition tasks. Different pooling methods, such as average pooling and max pooling, are commonly employed after feature coding. However, it has not been explained clearly what characteristic accounts for the success of pooling method. In this paper, a new pooling method, namely protected pooling, is prop...

Understanding the hydro-climatological controls on floods is fundamental for estimating flood frequency. The river flood regime is a reflection of a complex catchment hydrological response to flood producing processes. Hence, the catchment similarity in a flood regime is a feasible basis for identifying flood frequency pooling groups used in regional estimation of design events. This study desc...