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For subset selection we used median inclusion probability model (corresponding to 0.5 posterior inclusion probability threshold) [ 47].
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Moreover, study inclusion period was estimated using median inclusion period.
In the second column, the posterior inclusion probability is displayed.
Abbreviations: GDP gross domestic product, PIP posterior inclusion probability, Cond.
The optimal sampling design exists for a 2×M array with any inclusion probability.
g RMIP, resample model inclusion probability.
Weights should then be proportional to the inverse of the sample inclusion probability [ 73, p. 41].
The posterior inclusion probability for each locus is estimated as its frequency in the posterior samples.
The weights reflect unequal sample inclusion probability and compensate for differential non-response.
In this table, we also include the marginal inclusion probability of candidate poles.
We consider those features to be relevant that have an inclusion probability larger than 90%% [ 29].
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