Ulf Kai Mertens on Muck Rack

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ABrox-A user-friendly Python module for approximate Bayesian computation with a focus on model comparison

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By Ulf Kai Mertens, Andreas Voss, Stefan Radev
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Citation: Mertens UK, Voss A, Radev S (2018) ABrox—A user-friendly Python module for approximate Bayesian computation with a focus on model comparison. PLoS ONE 13(3): e0193981. https://doi.org/10.1371/journal.pone.0193981 Copyright: © 2018 Mertens et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Effect on healthcare utilization and costs of spinal manual therapy for acute low back pain in routine care: A propensity score matched cohort study

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By Medicine Greifswald, Jochen Walker, Ulf Kai Mertens, Carsten Oliver Schmidt
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Spinal manual therapy (SMT) is a popular treatment option for low back pain (LBP). The aim of our analysis was to evaluate the effects of manual therapy delivered by general practitioners and ambulatory orthopedic surgeons in routine care on follow up consultations, sick leave, health service utilization and costs for acute LBP compared to matched patients not receiving manual therapy. This is a propensity score matched cohort study based on health claims data.
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