This work addresses the issue of corrections for small samples or small number of studies applied to meta-analysis models. The reported methodologies are based on second-order asymptotic approximations and integrated likelihood theory. A simulation study is proposed to compare the effectiveness of the different approaches in a controlled setting and finally an application to a real case.
Nel presente lavoro si affronta il tema delle correzioni per piccoli campioni o piccolo numero di studi applicate ai modelli di metanalisi. Le metodologie riportate si basano sulle approssimazioni asintotiche di secondo ordine e sulla teoria della verosimiglianza integrata. Si propone uno studio di simulazione per confrontare l'efficacia dei diversi approcci in un contesto controllato e infine un'applicazione a un caso reale.
Meta-analysis and meta-regression: application and discussion in case of small sample size
ROMA, ENRICO
2022/2023
Abstract
This work addresses the issue of corrections for small samples or small number of studies applied to meta-analysis models. The reported methodologies are based on second-order asymptotic approximations and integrated likelihood theory. A simulation study is proposed to compare the effectiveness of the different approaches in a controlled setting and finally an application to a real case.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/50002