Welcome to EconEval

(Work in progress, not ready for production)

define a model

hip = nx.DiGraph()

add states to the model

states = [('healthy', {'utility':0.9, 'cost': 0}), ('dead', {'utility':0, 'cost': 0}), ('sick', {'utility':0.7, 'cost': 1000})] hip.add_nodes_from(states)

add transition probabilities

transitions = [('healthy', 'healthy', {'p':0.98}), ('healthy', 'sick', {'p':0.01}), ('healthy', 'dead', {'p':0.01}), ('sick', 'sick', {'p':0.5}), ('sick', 'dead', {'p':0.3}), ('sick', 'healthy', {'p':0.2}), ('dead', 'dead', {'p':1})]

hip.add_edges_from(transitions)

analyse

Valculate cost-efficiency

hip.cost_per_qualy()

Probability sensitivity analysis

hip.psa()

Value of information analysis

hip.evpi()