二分类结果组间比较的样本量计算
样本大小是临床研究的一个重要参数。然而,把握度和样本量分析对许多生物医学和社会心理调查者来说似乎是一个统计学家的魔术。在本文中,我们继续讨论二分类结果的把握度和样本量的计算。我们再次强调了在建立假设和进行把握度分析中调查者和生物统计学家之间密切联系的重要性。...
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Published in | 上海精神医学 Vol. 29; no. 5; pp. 316 - 324 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
2017
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Subjects | |
Online Access | Get full text |
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Summary: | 样本大小是临床研究的一个重要参数。然而,把握度和样本量分析对许多生物医学和社会心理调查者来说似乎是一个统计学家的魔术。在本文中,我们继续讨论二分类结果的把握度和样本量的计算。我们再次强调了在建立假设和进行把握度分析中调查者和生物统计学家之间密切联系的重要性。 |
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Bibliography: | 31-1564/R sample size;binary outcomes Sample size is a critical parameter for clinical studies.However,to many biomedical and psychosocial investigators,power and sample size analysis seems like a magic trick of statisticians.In this paper,we continue to discuss power and sample size calculations by focusing on binary outcomes.We again emphasize the importance of close interactions between investigators and biostatisticians in setting up hypotheses and carrying out power analyses. |
ISSN: | 1002-0829 |