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We reported "lack of evidence for a strong association between interferon beta treatment and disability progression. ..." We also raised the possibility that "a subgroup of patients [may] benefit from interferon beta treatment. ..."Dr Goodin and colleagues elaborate on the issue of potential residual confounding by indication, also discussed at length in our article. While we agree that the probability of changing treatment status may not depend just on pa- tients' characteristics at eligibility for interferon beta treatment (ie, the study baseline), showing that this results in substantial bias (for either the historical or contemporary control groups), or attempting to adjust for this possibility, is challenging, with few well-validated methods available. Ideally, every time a patient's treatment status changes, other important changes in his or her profile would be accounted for. Gaining this level of dynamic detail may not be possible. We are currently investigating several possible approaches, including marginal structural models.1 However, accurately estimating the various weights required by such models is challenging, and careful validation in MS is needed.
机译:我们报道了“缺乏证据证明干扰素β治疗与残疾进展之间有很强的联系。...”我们还提出了“一部分患者[可能]受益于干扰素β治疗的可能性。” Goodin博士及其同事详细说明了潜在的残留混杂症,通过适应症,我们在本文中也进行了详细讨论。尽管我们同意改变治疗状态的可能性可能不仅仅取决于患者接受干扰素β治疗的特征(即研究基线),这表明这会导致重大偏差(无论是历史对照组还是当代对照组) ),或尝试对此可能性进行调整,具有挑战性,几乎没有经过验证的方法。理想情况下,每次患者的治疗状态发生变化时,都应考虑其个人资料中的其他重要变化。无法获得此级别的动态细节。我们目前正在研究几种可能的方法,包括边际结构模型。1但是,准确估算此类模型所需的各种权重是一项挑战,因此需要在MS中进行仔细验证。

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