Year: 2026
Type: article
Abstract: Meta-analytic-predictive (MAP) priors have been proposed as a generic approach to deriving informative prior distributions, where external empirical data are processed to learn about certain parameter distributions. The use of MAP priors is also closely related to shrinkage estimation (also sometimes referred to as dynamic borrowing ). A potentially odd situation arises when the external data consist only of a single study . Conceptually, this is not a problem, it only implies that certain prior assumptions gain in importance and need to be specified with particular care. We outline this important, not uncommon special case and demonstrate its implementation and interpretation based on the normal–normal hierarchical model. The approach is illustrated using example applications in clinical medicine.
Source: Research Synthesis Methods
Authors: Christian Röver, Tim Friede
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,020
Award: G5825648981
OpenAlex ID: W4415329117