07:15 Aug 11, 2012 |
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English language (monolingual) [PRO] Medical - Mathematics & Statistics / clinical trials | |||||||
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SUMMARY OF ALL EXPLANATIONS PROVIDED | ||||
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5 | eliminated |
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3 +1 | use a spending function |
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3 -1 | passed on |
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Summary of reference entries provided | |||
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might help |
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spent passed on Explanation: The errors of Type I will be passed on to the test, i.e. made as input for tjhe said test. |
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eliminated Explanation: It means that Type 1 errors (i.e. those leading to rejection of a true null hypothesis) will be eliminated by means of the tests in question. |
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use a spending function Explanation: Probably arising in the context of deciding whether to stop the trial early. Reference: http://books.google.ie/books?id=KW9esgo759EC&pg=PA217&lpg=PA... Reference: http://www.niaid.nih.gov/about/organization/dcr/BRB/Document... |
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5 hrs |
Reference: might help Reference information: There are two ways of designing an O'Brien-Fleming design, a popular design for conducting interim analyses of clinical trials. The first method is to use an error (or alpha) spending function, which essentially gives you a "budget" of error you can spend at each interim analysis. http://realizationsinbiostatistics.blogspot.ro/2007/09/my-ob... Lan and DeMets developed a very flexible boundary procedure that accommodates unequal timing, additional looks, even extending the trial – Called “alpha spending” functions – Researchers can choose to “spend” their alpha (i.e., conduct interim analyses) any way they want – Ensures that total alpha “spent” is no more than 0.05 (or whatever was specified) http://www.icssc.org/Documents/AdvBiosGoa/Tab 25.00_InterimA... |
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