4.4 Bayesian Meta-Experimental Design

In this section, we present a general methodology for Bayesian meta-experimental design for the log-linear regression models. We first define the hypotheses for non-inferiority testing, which can be formulated as follows:
h sub 0 , colon , e super gamma sub 1 end super , greater than or equal to delta versus h sub 1 , colon , e super gamma sub 1 end super , less than delta (4.7)
where e super gamma sub 1 end super is the hazard ratio of experimental versus control and delta is a prespecified ...

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