heemod
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pierucci
:chart_with_upwards_trend:Markov Models for Health Economic Evaluations
Hello, Adjust a survival curve, the result of the adjusted curve is seen in the picture. I would like to be able to use 'compute_surve' for sensitivity analysis (dsa) using...
I tried to replicate the results described in the Markov Models for Health Economic Evaluations: The R Package "heemod" vignette. But it throws an error in the res_dsa () function...
In some cases, it may be important to have a model which takes into account multiple groups of patients even in DSA and PSA analyses. Perhaps this could be accomplished...
I have a survival model that requires a flexible baseline hazard (like the Royston-Parmar, for example) and a shared frailty term. Presently, **flexsurv** cannot handle frailties and most packages that...
Calculating transition probabilities from a `flexsurv` survival objects works well with `compute_surv()`. It seems natural to use the uncertainty in the survival estimate from the object for probabilistic sensitivity analyses....
I am writing because I have a problem when I try to perform a budget impact analysis. When the transition probabilities depend on time ("non-homogeneous Markov models"), I cannot compute...
This one is relatively complex to explain. I have a HEEMOD model with three strategies. I am running DSA with eight parameters, and ask the plot to evaluate parameter values....
Is it possible to use disability weights to enable calculation of DALYs? Or how can I get out the state counts from the PSA so that I can estimate the...
This is probably not a bug, but a result of which model calculation method is used. While model_time is always an integer, state_time assumes half-cycle values when the method =...
In vignette _c_homogeneous_, the output to ``` summary(res_mod, threshold = c(1000, 5000, 6000, 1e4)) ``` has a `Differences:` panel. It's not be clear that values are in units of 1...
