Abstract:
:The one-step (Peto) method for obtaining pooled effect estimates can yield extremely biased results when applied to unbalanced data. Even for balanced studies, the one-step estimate may incorporate an unacceptable degree of bias. In place of the one-step estimate, we recommend use of ordinary Mantel-Haenszel, weighted least squares, or maximum likelihood estimates whenever the total number of events is adequate for such methods. If the total number of events is small, we recommend exact methods.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Greenland S,Salvan Adoi
10.1002/sim.4780090307subject
Has Abstractpub_date
1990-03-01 00:00:00pages
247-52issue
3eissn
0277-6715issn
1097-0258journal_volume
9pub_type
杂志文章abstract::Drop-out often occurs in clinical trials with multiple visits and drop-out is often informative in the sense that the population of patients who dropped out is different from the population of patients who completed the study. To handle data with informative drop-out, an intention-to-treat analysis, which evaluates tr...
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journal_title:Statistics in medicine
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journal_title:Statistics in medicine
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journal_title:Statistics in medicine
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pub_type: 杂志文章
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journal_title:Statistics in medicine
pub_type: 杂志文章
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pub_type: 杂志文章
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更新日期:2011-03-30 00:00:00
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journal_title:Statistics in medicine
pub_type: 临床试验,杂志文章,多中心研究,随机对照试验
doi:10.1002/sim.4780090915
更新日期:1990-09-01 00:00:00
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更新日期:1989-08-01 00:00:00
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pub_type: 杂志文章
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更新日期:2008-08-30 00:00:00
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journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780080904
更新日期:1989-09-01 00:00:00
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pub_type: 杂志文章,多中心研究
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pub_type: 杂志文章
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pub_type: 杂志文章
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