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Univariate deterministic sensitivity analyses were undertaken varying the following cost variables one by one, ie, administration costs, second-line treatment costs, discount rates for effects, and costs (see Table 1 for parameter values tested).
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The most sensitive variables were the discount rate for effects and duration of treatment.
This resulted in €51,600 and €40,700 per QALY for the discount rate for costs, and €37,900 and €54,300 per QALY for the discount rate for effects, respectively.
Consistent with best practise and the Gates Reference Case [ 37], we also include the 3% discount rate for effects to show results of scenarios with equal discount rates.
For 2-way sensitivity analyses, the discount rate for costs was assumed to be 0% per year with a discount rate for effects of 5% per year, and, conversely, a discount rate for costs was assumed to be 5% per year with a discount rate for effects of 0% per year.
This difference is partly attributable to the effect of discounting, where we in our study use a 3% discount rate for effects, compared to the discount rate of 1.5% applied by van den Berg et al., but also attributable differences in the baseline population.
Convergence rates for fixed-effects were above 91.4% for all scenarios.
Convergence rates for random-effects, GEE, and Mantel-Haenszel were high across all scenarios (99.4% or higher for all methods).
Standard discount rates of 1.5%% for effects and 4%% for costs according to Dutch guidelines were used [21].
Table 2 shows that ICC had no effect on the non-coverage rates for the fixed effects or the random slope.
The discount rate for health effects ranged from 0 to 5%%.
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CEO of Professional Science Editing for Scientists @ prosciediting.com