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Table 3 Results of the analysis of FINE data

From: A comparison of approaches for combining predictive markers for personalised treatment recommendations

Method

PTR algorithm

θ

p value

95% CI

Regression

I(−2.020 + 1.709. baselinefat + 1.705. EQ5D + 1.685. concern < 0)

1.92

0.07

− 0.65 to 4.49

Kraemer

I(−2.342 + 0.633. baselinefat + 2.253. EQ5D + 2.069. concern < 0)

− 0.10

0.47

− 2.26 to 2.06

Modified Kraemer

I(−2.365 + 1.278. baselinefat + 1.568. EQ5D + 2.101. concern < 0)

0.69

0.13

− 0.49 to 1.87