Biostatistics Primer What a Clinician Ought to Know: Subgroup Analyses

被引:37
作者
Barraclough, Helen [3 ]
Govindan, Ramaswamy [1 ,2 ]
机构
[1] Washington Univ, Sch Med, Div Med Oncol, Alvin J Siteman Canc Ctr, St Louis, MO 63110 USA
[2] Washington Univ, Sch Med, Div Oncol, Dept Med, St Louis, MO 63110 USA
[3] Eli Lilly & Co, Intercontinental Informat Sci, Sydney, NSW, Australia
关键词
Biostatistics; Subgroup analysis; CONSORT STATEMENT;
D O I
10.1097/JTO.0b013e3181d9009e
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Large randomized phase III prospective studies continue to redefine the standard of therapy in medical practice. Often when studies do not meet the primary endpoint, it is common to explore possible benefits in specific subgroups of patients. In addition, these analyses may also be done, even in the case of a positive trial to find subsets of patients where the therapy is especially effective or ineffective. These unplanned subgroup analyses are justified to maximize the information that can be obtained from a study and to generate new hypotheses. Unfortunately, however, they are too often overinterpreted or misused in the hope of resurrecting a failed study. It is important to distinguish these overinterpreted, misused, and unplanned subgroup analyses from those prespecified and well-designed subgroup analyses. This overview provides a practical guide to the interpretation of subgroup analyses.
引用
收藏
页码:741 / 746
页数:6
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