make.transition.probs

Computes the transition probabilities (to be passed to a Markov model) from
the cumulative hazard curves obtained using <code>fit.models</code>, using the formula
p(t)=1-exp(H(t-k)/H(t)), where k is the Markov model cycle length (or the
difference across two consecutive times) and t is a generic time

models

Markov

probabilities

transition

Contains a suite of functions for survival analysis in health economics.
These can be used to run survival models under a frequentist (based on maximum likelihood)
or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian
Monte Carlo). To run the Bayesian models, the user needs to install additional modules
(packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed from
<https://giabaio.r-universe.dev/> using
'install.packages("survHEhmc", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))'
and
'install.packages("survHEinla", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))'
respectively. 'survHEinla' is based on the package INLA, which is available for download at
<https://inla.r-inla-download.org/R/stable/>. The user can specify a set of parametric models
using a common notation and select the preferred mode of inference. The results can also be
post-processed to produce probabilistic sensitivity analysis and can be used to export the
output to an Excel file (e.g. for a Markov model, as often done by modellers and
practitioners). <doi:10.18637/jss.v095.i14>.

Gianluca Baio

survHE

Survival Analysis in Health Economic Evaluation

Andrea Berardi

Philip Cooney

Andrew Jones

Nathan Green

make.transition.probs function

<dl><dt>fit</dt>
<dd>an object obtained as output of the call to <code>fit.models</code></dd>
<dt>labs</dt>
<dd>a vector with labels to identify the 'profiles' ie the
combination of covariates that have been passed onto the model formula.
If 'NULL' (default), then figures it out from the 'survHE' object.</dd>
<dt>...</dt>
<dd>additional arguments. Includes the standard inputs to the
call to <code>make.surv</code>, so <code>mod</code> (the index of the possibly many
models stored in the 'survHE' object), <code>t</code> (the vector of times
over which to compute the survival curves), <code>newdata</code> (a list that
defines the profile of covariates) and <code>nsim</code> (the number of
simulations to use - default is <code>nsim</code>=1)</dd></dl>

Arguments

Author

make.transition.probs — make.transition.probs

<dl>

<dt>fit</dt>
<dd>an object obtained as output of the call to <code>fit.models</code></dd>


<dt>labs</dt>
<dd>a vector with labels to identify the 'profiles' ie the
combination of covariates that have been passed onto the model formula.
If 'NULL' (default), then figures it out from the 'survHE' object.</dd>


<dt>...</dt>
<dd>additional arguments. Includes the standard inputs to the
call to <code>make.surv</code>, so <code>mod</code> (the index of the possibly many
models stored in the 'survHE' object), <code>t</code> (the vector of times
over which to compute the survival curves), <code>newdata</code> (a list that
defines the profile of covariates) and <code>nsim</code> (the number of
simulations to use - default is <code>nsim</code>=1)</dd>

</dl>

make.transition.probs: make.transition.probs

Description

Usage

Value

Arguments

Author

References

See Also

Examples