However, in one of their tests, it was thought that the point estimate was more useful for decision making at low probabilities.
Moreover, the parametric methods are also often to be preferred because estimates using medians may have little relevance for decision making.
Consequently, it is difficult to estimate the need for rehabilitation and sensitization for health authorities without rigorous data for decision making.
Secondary outcomes are decisional conflict and preparation for decision making.
Health costs alone are of limited use for decision making.
Accurate up-to-date data is crucial for decision making.
Determining the temporal and spatial scale needed for decision making.
Offer opportunities for decision making.
It is a challenge to determine how, when and by whom climate predictions should be translated into risk estimates usable for decision-making.
Such an approach allows complex sampling designs, for which probability statistics cannot be estimated mathematically, to be simulated and run repeatedly to generate evidence for decision-making.
The adjusted results should provide more reliable estimates for future clinical decision making.
