Creates decision tree graphs for cost-effectiveness analysis with typical decision nodes, chance nodes, and terminal nodes. Supports visualization of treatment pathways, probabilities, costs, and outcomes.
Usage
decisiongraph(
data,
treeType = "costeffectiveness",
decisions,
healthStates,
transitionProbs,
cycleLength = 1,
probabilities,
costs,
utilities,
outcomes,
layout = "horizontal",
nodeShapes = TRUE,
showProbabilities = TRUE,
showCosts = TRUE,
showUtilities = TRUE,
calculateExpectedValues = TRUE,
sensitivityAnalysis = FALSE,
discountRate = 0.03,
timeHorizon = 10,
nodeLabels = TRUE,
branchLabels = TRUE,
colorScheme = "medical",
summaryTable = TRUE,
tornado = FALSE
)Arguments
- data
The data as a data frame containing decision tree parameters.
- treeType
Type of decision tree to create.
- decisions
Variables representing decision nodes (treatment options).
- healthStates
Variables defining health states for Markov model.
- transitionProbs
Variables containing transition probabilities between health states.
- cycleLength
Length of each Markov cycle in years.
- probabilities
Variables containing probability values for chance nodes.
- costs
Variables containing cost values for terminal nodes.
- utilities
Variables containing utility/effectiveness values.
- outcomes
Variables representing clinical outcomes.
- layout
Layout orientation for the decision tree.
- nodeShapes
Use different shapes for different node types.
- showProbabilities
Display probability values on tree branches.
- showCosts
Display cost values at terminal nodes.
- showUtilities
Display utility/effectiveness values.
- calculateExpectedValues
Calculate and display expected costs and utilities.
- sensitivityAnalysis
Perform one-way sensitivity analysis on key parameters.
- discountRate
Annual discount rate for future costs and benefits.
- timeHorizon
Time horizon for the analysis in years.
- nodeLabels
Display descriptive labels for nodes.
- branchLabels
Display labels on tree branches.
- colorScheme
Color scheme for the decision tree visualization.
- summaryTable
Show summary table with expected values and cost-effectiveness ratios.
- tornado
Create tornado diagram for sensitivity analysis.
Value
A results object containing:
results$treeplot | Decision tree visualization with nodes and branches | ||||
results$summaryTable | a table | ||||
results$nodeTable | a table | ||||
results$tornadoplot | Sensitivity analysis tornado diagram | ||||
results$sensitivityTable | a table | ||||
results$text1 | a html | ||||
results$text2 | a html | ||||
results$markovTable | a table | ||||
results$markovCohortTable | a table | ||||
results$markovPlot | Markov state transition diagram |
Tables can be converted to data frames with asDF or as.data.frame. For example:
results$summaryTable$asDF
as.data.frame(results$summaryTable)