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Original Research

Estimating health-state utility values for patients with recurrent ovarian cancer using Functional Assessment of Cancer Therapy – General mapping algorithms

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Pages 615-627 | Published online: 26 Nov 2015

Figures & data

Table 1 Utility algorithms identified from the systematic literature review and mapping database

Table 2 Rank for each algorithm by goodness-of-fit indicator

Figure 1 Distribution of utilities, total FACT-G scores, and total FACT-O scores across all observations in the study.

Abbreviations: EQ, EuroQol; TTO, time trade-off; FACT-G, Functional Assessment of Cancer Therapy – General; FACT-O, FACT – Ovarian; OLS, ordinary least squares.
Figure 1 Distribution of utilities, total FACT-G scores, and total FACT-O scores across all observations in the study.

Table 3 Summary statistics for utilities by algorithm and patient population (pooled treatment groups)

Table 4 Coefficients of mixed-effect regression model (OLS predicted utilities)

Table S1 Search terms used for identification of studies reporting health-state utility values

Table S2 Variance–covariance matrix for the optimized multivariable analysis

Table S3 Pearson correlation coefficients between sets of utility values generated by different algorithms