Does anyone know if there is any Bayesian implementation of the Royston-Parmar survival model?

Check out our arXiv paper here: https://arxiv.org/pdf/2002.09633.pdf It describes the two approaches we took: 1) use M-splines on the hazard, or 2) use B-splines on the log-hazard. The M-splines approach is faster to estimate because it allows you to calculate the cumulative hazard in closed form a…

Here is some Stan code I wrote some time ago, that is very close to Royston& Parmar (it uses M-splines instead of restricted cubic splines and a QR transformation for any covariates). I can recommend the arXiv paper @sambrilleman mentioned, for a practical implementation and the thread @maxbiostat m…

I’ve got a working Bayesian implementation of the Royston-Parmar survival model done in JAGS based on code in Freeman & Carpenter ( https://doi.org/10.1002/jrsm.1253 ). There’s a little trick to deal with the “restricted cubic splines do not constrain the (log) cumulative hazard to be monotonically …

Hello, I am a clinician. It would be nice for me to be able to select the degrees of freedom of the baseline hazard and covariate effects to allow for ver flexible curves (i.e., crossing survival curves). It would also be nice to have posterior probabilities of therapeutic effect, as well as surviva…

Bit late here but check out the survHE package: survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling | Journal of Statistical Software (jstatsoft.org) . It has Royston-Parmar (just the Weibull models though).

Bayesian implementation of the Royston-Parmar survival model

Modeling

maxbiostat April 29, 2020, 10:13pm 2

Have a look here. Failing that, @ermeel and @sambrilleman (and possibly @jonah) are the right people to ask.

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Bayesian implementation of the Royston-Parmar survival model

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