dectree_expected_default: Cost-effectiveness decision tree expected values

In n8thangreen/CEdecisiontree: Cost-effectiveness decision tree analysis

Cost-effectiveness decision tree expected values

Description

Root node expected value as the weighted mean of probability and edge/node values e.g. costs or QALYS.

Usage

dectree_expected_default(vals, p, dat = NA)

Arguments

vals	Values on each edge/branch e.g. costs or QALYs (array)
p	Transition probabilities matrix
dat	Long node-edge value array; default: NA

Details

The expected value at each node is calculate by

\hat{c}_i = c_i + ∑ p_{ij} \hat{c}_j

The default calculation assumes that the costs are associated with the nodes. An alternative would be to associate them with the edges. For total expected cost this doesn't matter but for the other nodes this is different to assuming the costs are assigned to the nodes. The expected value would then be

\hat{c}_i = ∑ p_{ij} (c_{ij} + \hat{c}_j)

Value

Expected value at each node (vector)

Examples

# dectree_expected_default(vals, p)

n8thangreen/CEdecisiontree documentation built on Sept. 13, 2022, 5:25 a.m.