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Combining our estimate of the FDS effect on tier with more generalized prior findings regarding tier:copayment and copayment:adherence relationships demonstrates that FDS holds promise for policymakers and health system leaders to increase adherence.
That is, given the generalized prior model, the samples needed by GPR model could be reduced greatly meanwhile keeping precise.
Furthermore, the correlations were similar when a generalized prior was used for all percentages of ECP present in the binary data.
The results suggest that when analyzing binary data in the presence of ECP, bias in the estimation of variance components can be eliminated, or at least significantly reduced by using a generalized prior for the fixed effects.
The objective of the current study was to investigate the effect on inferences of assigning a generalized prior (g-prior) with varying weights to fixed effects, first proposed by Zellner [ 5], for the analysis of binary data in the presence of varying percentages of ECP.
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Constraint MCs permit rich constraints on probability distributions and thus generalize prior abstractions such as Interval MCs.
We describe two approaches to discard these implicit assumptions and restrictions: one, that carefully generalizes prior work, leading to an optimal, but often-times intractable solution, and another, that provides a novel way of reasoning about filtering strategies, leading to a sometimes sub-optimal, but efficiently computable solution (that is provably close to optimal).
FastPD is a state-of-the art algorithm that generalizes prior methods such as alpha expansion, while being an order of magnitude faster in practice [46] and handling more general potentials (including some non-submodular ones) with strong per-instance optimality bounds.
We adopt a meta analytic approach to generalize from prior studies.
This article can thus be considered as an extension of [3], modeling dependencies between-sources through generalizing the prior to multivariate GMM.
The optimal target-switch latency was formulated taking into account the subjective timing uncertainty13 and the expected gain function used to this end was already generalized in our prior study to include the probe trial probability11.
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