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I'm comparing two treatments using survival time. The model is lognormal and has an intercept beta1, coefficient beta2 on size and beta3 on treatment. I have issues with convergence of mcmc chains on beta1 and beta3. My question: is there convergence on chains of beta1 and beta3? Thank you

That's the hazard function. h(ti) = h0(ti) × h1(ti) but h1(ti) is the focus of modeling. Priors are non-informative. rho and mu are scale and shape paramaters of weibull. This is just a starting model and there is a possibility to model log(mu). Modelling mu can tell about the hazard under each...

I have data on survival analysis to compare two treatments. Survival time is weibull distributed. I have problem with formulating the model . Treatment is a dummy variable with two levels (1,2) and I don't know how to incorporate it to be able to compare efficacy. Any suggestion with this...