Pages that link to "Item:Q2080762"
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The following pages link to Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials (Q2080762):
Displaying 8 items.
- Meta-analytic-predictive use of historical variance data for the design and analysis of clinical trials (Q1658139) (← links)
- Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors (Q2233150) (← links)
- Assessment of vague and noninformative priors for Bayesian estimation of the realized random effects in random-effects meta-analysis (Q2316715) (← links)
- Bayesian meta-experimental design: evaluating cardiovascular risk in new antidiabetic therapies to treat type 2 diabetes (Q2912356) (← links)
- Using conditional power of network meta-analysis (NMA) to inform the design of future clinical trials (Q2931057) (← links)
- Robust meta‐analytic‐predictive priors in clinical trials with historical control information (Q3465388) (← links)
- The hierarchical metaregression approach and learning from clinical evidence (Q5208137) (← links)
- REDOMA: Bayesian random-effects dose-optimization meta-analysis using spike-and-slab priors (Q6618357) (← links)