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Can a 'true' effect be built on a 'wrong' model?

机译:可以在“错误”模型上建立“真实”效果吗?

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摘要

Thase et al use a sophisticated model to assess the 'true' effect of active antidepressant therapy v. placebo.Health authorities generally evaluate the efficacy of new medications from randomised controlled trials (RCTs) v. placebo which are well documented and rely on such a simple statistical paradigm that they can resist the major financial conflicts of interest inherent in the evaluation of pharmaceuticals. Concerning antidepressants, these studies generally identify small, average drug-placebo differences.Using statistical modelling, other authors have addressed the question of outcome measurement3 and found that efficacy is better understood as a large effect in a subgroup of patients. This is consistent with the common clinical viewpoint.
机译:Thase等人使用复杂的模型评估主动抗抑郁疗法与安慰剂的“真实”效果。卫生当局通常会评估来自随机对照试验(RCT)与安慰剂的新药的疗效,这些药物有据可查并依赖于此类药物。他们可以抵制药品评估中固有的重大财务利益冲突的简单统计范式。关于抗抑郁药,这些研究通常可以确定较小的平均药物-安慰剂差异。其他作者使用统计模型解决了结果测量的问题3,并发现疗效被更好地理解为对亚组患者的巨大作用。这与普遍的临床观点是一致的。

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