This paper presents a test of the predictive validity of various classes of
QALY models (i.e., linear, power and exponential models). We first estimated
TTO utilities for 43 EQ-5D chronic health states and next these states were
embedded in health profiles. The chronic TTO utilities were then used to
predict the responses to TTO questions with health profiles. We find that the
power QALY model clearly outperforms linear and exponential QALY models.
Optimal power coefficient is 0.65. Our results ...
This paper presents a test of the predictive validity of various classes of
QALY models (i.e., linear, power and exponential models). We first estimated
TTO utilities for 43 EQ-5D chronic health states and next these states were
embedded in health profiles. The chronic TTO utilities were then used to
predict the responses to TTO questions with health profiles. We find that the
power QALY model clearly outperforms linear and exponential QALY models.
Optimal power coefficient is 0.65. Our results suggest that TTO-based QALY
calculations may be biased. This bias can be avoided using a power QALY model.
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