cemtool: Default function to start the cemtool package

In StanWijn/cemtool: Step By Step Guide to Build a Markov Model

Description

The cemtool() package provides a step-by-step tool to guide users in building a default Markov model. The tool guides the user though the steps of the development of a Markov model and will present the final result using graphs and tables. The only prerequisite is that the user knows the structure of the model and the transition probabilities, no calculations or coding is required.

Usage

cemtool()

Details

There are multiple software systems that can be used to build Markov models for cost-effectiveness analyses like TreeAge, Excel or R. Although there are numerous advantages to use R over the others, the biggest downside is the steep learning curve from R. The cemtool() package aims to close this gap by introducing a step-by-step tool to guide users in building a default Markov models. The tool guides the user though the steps of the development of a Markov model and will present the final result using graphs and tables. The only prerequisite is that the user knows the structure of the model and the transition probabilities, no calculations or coding is required.

– Required knowledge / information:

Model structure
The structure of the Markov model: how many healthstates, the names of the healthstates etc.

Transition probabilities
The probabilities to move from one healthstate to another

Costs
The costs for a patient to be on the healhstates for one cycle / year

Effects
The effect size associated with the healthstate. For QALY a value between 1 and 0, from perfect health to death.

Value

The following variables will be created in the Global Enviroment:

— Number of healhstates (HS)

— Names of the healthstates (HS1, HS2 ... HSn, dead)

— Names of both the intervention (intervention) and usual care strategy (control)

— Number of cycles (n.t)

— Vector of the strategy names (Strategies) and a vector of the healhstate names (v.n).

The function will automatically run cemprob() after finishing

Author(s)

S.R.W. Wijn MSc <[e-mail]>

Examples

## Not run: 
cemtool() # Start from stratch (clear the cemtool environment from the Global Environment)
cemprob() # Start from the second phase (definding the parameters) 
cemtpm()  # Start from the third phase (modify the transition probability matrix)
cemrun()  # Run the model with the current m.M markov trace and m.P transition probability matrix

cemtool.env <- cemtool() # To save all input for further modification

## End(Not run)

StanWijn/cemtool documentation built on April 8, 2020, 1:42 p.m.