Abstract
In the previous chapters, we presented various derivations of the threshold model based on the same disease outcomes. We assumed that a decision-maker would calculate the threshold based on either mortality or morbidity outcomes. Basinga and van den Ende derived the threshold by combining both mortality and morbidity outcomes.
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Notes
- 1.
In a research setting, many sophisticated methods have been developed to assign values to a given health state. These include methods such as standard gamble, time-tradeoff, swing weighting, discrete choice experiments, etc. to derive the quality of health state, quality of life, quality-adjusted life expectancies. In general, as mentioned in the earlier chapters, most patients do not find these methods easy to understand and they have not penetrated into clinical practice. As a result, these methods and techniques are not discussed in this book in detail. See Chap. 3 for the method we advocate. A reader is also referred to general textbooks on the measurement of utilities for further details.
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Djulbegovic, B., Hozo, I. (2023). Hybrid and Dual-Processing Threshold Decision Models. In: Threshold Decision-making in Clinical Medicine. Cancer Treatment and Research, vol 189. Springer, Cham. https://doi.org/10.1007/978-3-031-37993-2_7
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