On asymptotic normality in estimation after a group sequential trial
We prove that in many realistic cases, the ordinary sample mean after a group sequential trial is asymptotically normal if the maximal number of observations increases. We derive that it is often safe to use naive confidence intervals for the mean of the collected observations, based on the ordinary...
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Published in | Sequential analysis Vol. 39; no. 4; pp. 443 - 466 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Philadelphia
Taylor & Francis
01.10.2020
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
ISSN | 0747-4946 1532-4176 |
DOI | 10.1080/07474946.2020.1826784 |
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Summary: | We prove that in many realistic cases, the ordinary sample mean after a group sequential trial is asymptotically normal if the maximal number of observations increases. We derive that it is often safe to use naive confidence intervals for the mean of the collected observations, based on the ordinary sample mean. Our theoretical findings are confirmed by a simulation study. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0747-4946 1532-4176 |
DOI: | 10.1080/07474946.2020.1826784 |