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Planning a Randomized Trial

机译:计划随机试验

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Randomized clinical trials are generally considered to produce results with the highest level of evidence. The study design can eliminate confounding bias by allocating patients randomly and thereby avoid systematic unbalance in confounding factors between treatment(s) and control groups. While adjustment for confounding can be made for known or suspected confounding factors in observational studies, randomization also protects against unknown confounding factors. This makes it possible to achieve valid results with optimal statistical precision. In observational studies, aspects of validity and statistical precision are often conflicting, and validity is achieved at the expense of precision. The methodology of randomized trials is complex and covers several scientific areas. This note and the one that follows present only a small number of statistics-related issues to be considered when planning and analyzing randomized trials or when reading their reports. National and international legislation may apply to clinical trials. This is not covered here.
机译:通常认为随机临床试验可产生具有最高证据水平的结果。该研究设计可以通过随机分配患者来消除混杂的偏见,从而避免治疗组和对照组之间混杂因素的系统性失衡。尽管可以在观察研究中针对已知或怀疑的混杂因素对混杂因素进行调整,但随机分配还可以防止未知的混杂因素。这样就可以以最佳的统计精度获得有效的结果。在观察性研究中,有效性和统计精度的方面常常是矛盾的,并且以精度为代价来实现有效性。随机试验的方法很复杂,涉及多个科学领域。本注释及其后的注释仅提出了少数与统计相关的问题,这些问题在计划和分析随机试验或阅读其报告时需要考虑。国家和国际立法可能适用于临床试验。这不在这里。

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