Bayesian sample size determination for detecting heterogeneity in multi-site replication studies
Konstantinos Bourazas (bourazas.konstantinos@ucy.ac.cy),
Guido Consonni (guido.consonni@unicatt.it) and
Laura Deldossi (laura.deldossi@unicatt.it)
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Konstantinos Bourazas: University of Cyprus, Nicosia
Guido Consonni: Università Cattolica del Sacro Cuore
Laura Deldossi: Università Cattolica del Sacro Cuore
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2024, vol. 33, issue 3, No 7, 697-716
Abstract:
Abstract An ongoing “replication crisis” calls into question scientific discoveries across a variety of disciplines ranging from life to social sciences. Replication studies aim to investigate the validity of findings in published research, and try to assess whether the latter are statistically consistent with those in the replications. While the majority of replication projects are based on a single experiment, multiple independent replications of the same experiment conducted simultaneously at different sites are becoming more frequent. In connection with these types of projects, we deal with testing heterogeneity among sites; specifically, we focus on sample size determination suitable to deliver compelling evidence once the experimental data are gathered.
Keywords: Analysis prior; Bayesian design; Bayes factor; Design prior; Heterogeneity; 62K05; 62F15 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11749-023-00916-4
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