Skip to main content

Table 5 Cost–effectiveness probabilities at different willingness to pay thresholds

From: The statistical approach in trial-based economic evaluations matters: get your statistics together!

  REALISE study HYPOAWARE study
Analysis 0 €/QALY 10,000 €/QALY 23,300 €/QALY 0 €/QALY 10,000 €/QALY 23,300 €/QALY
1.- Two t-tests (1 for cost; 1 for effects) complete-case 0.67 0.57 0.55 0.59 0.53 0.51
2.- Two bootstrapped t-tests; complete-case 0.66 0.65 0.62 0.59 0.56 0.54
3.- Two regressions with correction for confounders; complete-case 0.54 0.51 0.50 0.52 0.49 0.47
4.- Two bootstrapped regressions with correction for confounders; complete-case 0.54 0.52 0.50 0.52 0.46 0.41
5.- Two t-tests; mean imputation 0.74 0.59 0.57 0.59 0.54 0.54
6.- Two bootstrapped t-tests; mean imputation 0.74 0.73 0.71 0.59 0.62 0.62
7.- Two regressions with correction for confounders; mean imputation 0.71 0.58 0.56 0.58 0.54 0.55
8.- Two bootstrapped regressions with correction for confounders; mean imputation 0.72 0.71 0.69 0.58 0.64 0.68
9.- Two t-tests; MI 0.55 0.53 0.53 0.28 0.42 0.45
10.- Two bootstrapped t-tests; MI 0.55 0.57 0.59 0.26 0.31 0.38
11.- Two regressions with correction for confounders; MI 0.53 0.52 0.53 0.26 0.42 0.46
12.- Two bootstrapped regression with correction for confounders; MI 0.53 0.56 0.58 0.26 0.32 0.40
13.- SUR with correction for confounders; MI 0.58 0.60 0.61 0.28 0.33 0.39
14.- SUR with correction for confounders; MI 0.54 0.57 0.59 0.27 0.33 0.40
  1. MI Multiple Imputation, SUR Seemingly Unrelated Regression