Rukhin, A.
(2010),
Sequential Testing to Guarantee The Necessary Sample Size in Clinical Trials, Communications in Statistics Part A-Theory and Methods, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=901446
(Accessed December 10, 2024)
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Sequential Testing to Guarantee The Necessary Sample Size in Clinical Trials
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Abstract
The paper addresses the sequential sampling issues related to attainment of a given number of events in a Poisson process. The problem of guaranteeing the necessary sample size is formulated as that of open-ended hypothesis testing in which one has to find a one-sided stopping boundary. The formulas for the distribution of general stopping times are derived, and for the linear boundary they are shown to be in the class of Lagrangian Poisson distributions. A locally optimal testing procedure is obtained.Citation
Communications in Statistics Part A-Theory and Methods
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Keywords
Borel distribution, Lagrangian Poisson distribution, locally optimal test, one-sided stopping boundary, Poisson process.
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Created January 1, 2010, Updated February 19, 2017