Category Archives: Direct likelihood / Bayesian approaches

Direct likelihood / Bayesian approaches

Direct likelihood with influence and residual diagnostics

These SAS macros focus on the direct likelihood analysis approach under MAR assumption with influence and residual diagnostics. In many clinical studies such as in the highly controlled scenario of longitudinal confirmatory trials, it is plausible to start with MAR … Continue reading

Gaussian Repeated Measures with conjugate priors fitted using proc MCMC in SAS

Gaussian Repeated Measures with conjugate priors fitted using proc MCMC in SAS. Quick summary The basic idea is to use conjugate priors to reduce autocorrelation in the MCMC chain when using the classic MMRM model. The macro is fully compatible … Continue reading