For measuring the weight of evidence for an alternative H1 to a hypothesis H0 or the degree of safety with which H0 can be rejected, this paper suggests an estimator of the indicator function of H1, with two separate squared error loss functions, and a bound on the risk under H0.

type="main" xml:id="insr12037-abs-0001" <title type="main">Summary</title>The combination of evidence from independent studies has a curious history. The origins reach back at least to the beginning of the 20th century. Since the mid-1970s, meta-analysis has become popular in several fields, among them medical statistics...