A PROGRAM FOR BALANCING THE ALLOCATION OF SUBJECTS TO TREATMENT IN A CLINICAL-TRIAL
A PROGRAM FOR BALANCING THE ALLOCATION OF SUBJECTS TO TREATMENT IN A CLINICAL-TRIAL
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DOI：
10.1016/0010-4809(82)90014-3
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发表时间：
1982-01-01
期刊：
影响因子：
--
通讯作者：
AICKIN, M
中科院分区：
文献类型：
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作者：
AICKIN, M
最小似然分配（MLA）是一种在临床试验中将[人类]受试者顺序分配到治疗组的新方法。其目的是平衡审判，即，以防止不同的治疗组包含比平均水平好得多或差得多的疾病的受试者。MLA的整体策略进行了描述，提供了一个说明性的例子，并宣布所需的计算机程序的可用性。
Minimum likelihood allocation (MLA) is a new method for sequentially assigning [human] subjects to treatment groups in a clinical trial. Its aim is to balance the trial, i.e., to prevent various treatment groups from containing subjects who have much better or much worse prognoses than the average. The overall strategy of MLA is described, an illustrative example is provided and the availability of the required computer program is announced.