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By formulating this problem in terms of missing data we obtained adjusted mortality estimates, based on assumed hazard ratios for excess mortality in patients lost to follow-up.
Formulating this problem as a mass balance between organic carbon and available EAs, and by considering the bioavailability of POC, provides a framework for accomplishing this.
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They formulated this problem as an implicit recommendation system [25,26].
The authors formulated this problem as a sellers' market competition.
We formulated this problem as an integer programming problem.
We formulate this problem as a mixed-integer program.
We formulated this problem as an MILP model.
We formulate this problem as a mixed integer programming model.
We formulate this problem as a two-stage maximal clique selection problem over an IDNC graph.
We formulate this problem as a binary constrained nonlinear optimisation problem [10, 16].
Therefore, the authors formulate this problem as a linear programming optimization problem.
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