4. Calculate the expected value of the outcomes associated with the ()()) leading to those outcomes. This is typically done by multiplying the set of outcome probabilities by the () of each outcome
particular choice(s, value
5. Identify the choice(s) associated with the () expected value. Based on the assumptions of the decision model, this is the most desirable choice, as it provides the highest expected value given the probability and value of its outcomes.
greatest
Conduct a() of the model to determine if plausible variations in the estimates of probabilities of outcomes or utilities change the relative desirability of the choices.
sensitivity analysis
s used because the estimates of key variables in the model may be subject to random variation or based on limited data or simply expert conjecture.)
Sensitivity analysis
quantifies precisely how much the evidence could change (for any reason, such as potential biases or simply sampling variation) before the recommendation changes, and what the revised recommendation would be.
Threshold analysis
is a line or point that indicates a level at which something changes.
Threshold
 identifies thresholds and calculates the costs of crossing them. • It can also be used to compare the effectiveness of different options.
Threshold analysis