Abstract
Sequential procedures by ARMITAGE [2] are to test the equivalence of the probabilities on two treatments for selecting the better of two treatments in clinical trials, then a response is a random variable and immediate. The group sequential procedures by POCOCK [9], O’BRIEN-FLEMING [8], FLEMING-HARRINGTON-O’BRIEN [5] and so on can be used more than one subject at a time, thus it is available to test the superiority between two processes in a production system.
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References
ANDERSON, T.W.(1964): Sequential Analysis with Delayed Observations, Journal of the American Statistical Association 59, 1006–1015.
ARMITAGE, P.(1957): Restricted Sequential Procedures, Biometrika 44, 9–26.
CHOI, S.C. and CLARK, V.A.(1970): Sequential Decision for a Binomial Parameter with Delayed Observations, Biometrics 26, 441–420.
COLTON, T.(1963): A Model for Selecting One of Two Medical Treatments, Journal of the American Statistical Association 58, 388–400.
FLEMING, T.R., HARRINGTON, D.P. and O’BRIEN,P.C.(1984): Designs for Group sequential Tests, Controlled Clinical Trials 5, 348–361.
JENNISON, C. and TURNBULL, B.W.(1993): Sequential Equivalence Testing and Repeated Confidence Intervals, with Applications to Normal and Binary Responses, Biometrics 49, 31–43.
LAN, K.K.G. and DEMETS, D.L.(1983): Discrete sequential boundaries for clinical trials, Biometrika 70, 659–663.
O’BRIEN, P.C. and FLEMING, T.R.(1979): A Multiple Testing Procedure for Clinical Trials, Biometrics 35, 549–556.
POCOCKj, S.J.(1977): Group sequential methods in the design and analysis of clinical trials, Biometrika 64, 191–199.
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© 1997 Springer-Verlag Berlin Heidelberg
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Douke, H. (1997). Group Sequential Design with Delayed Observations for Selecting One of Two Processes in a Production System. In: Lenz, HJ., Wilrich, PT. (eds) Frontiers in Statistical Quality Control. Frontiers in Statistical Quality Control, vol 5. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-59239-3_13
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DOI: https://doi.org/10.1007/978-3-642-59239-3_13
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0984-8
Online ISBN: 978-3-642-59239-3
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