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Fig. 1 Full hypothesis tree for a system with d Boolean variables.
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Note that one could, of course, start immediately with step (iv) on the full hypotheses set.
There are generally two hypotheses to estimate the percentage loss or gain of species geographical ranges: the full dispersal hypothesis and the no dispersal hypothesis [64].
Previous approaches have either arbitrarily assigned 4% to the full population hypothesis (fixed allocation) [27] or assigned all 5% to the hypothesis that is better supported at an interim analysis (all or none adaptive allocation) [28].
In this latter model (Model 5) a proportion as high as 80percentnt of the between-country variation is explained (with a similar result in the Full Model) (hypothesis 3).
At an interim analysis point, the data are applied to determine the optimal allocation based on maximizing an objective efficiency function, which can be phase 3 study power or phase 3 study power weighted by indication size (e.g., more weight to the full population hypothesis, which has the potential to benefit more people).
For our model, equation (6) establishes the validity of the separation theorem and the full-hedging hypothesis.
Research perspectives are given to extend the efficiency of the methods in higher dimensions and address the relaxing of full monotony hypotheses.
Full-length hypothesis.
Of course, it must be clearly realized that the proposal outlined in this paper is not a theory and not even a full-fledged hypothesis: it is "just" an idea but, I think, one that biologists cannot afford to dismiss.
In each simulation, we selected from six proposed compound hypotheses (four interaction hypotheses, full mobility, and an additive model).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com