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Sample size re-assessment leading to a raised sample size does not inflate type I error rate under mild conditions.

Broberg, Per LU (2013) In BMC Medical Research Methodology 13(Jul,19).
Abstract
One major concern with adaptive designs, such as the sample size adjustable designs, has been the fear of inflating the type I error rate. In (Stat Med 23:1023-1038, 2004) it is however proven that when observations follow a normal distribution and the interim result show promise, meaning that the conditional power exceeds 50%, type I error rate is protected. This bound and the distributional assumptions may seem to impose undesirable restrictions on the use of these designs. In (Stat Med 30:3267-3284, 2011) the possibility of going below 50% is explored and a region that permits an increased sample size without inflation is defined in terms of the conditional power at the interim.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
BMC Medical Research Methodology
volume
13
issue
Jul,19
article number
94
publisher
BioMed Central (BMC)
external identifiers
  • wos:000322202800001
  • pmid:23870495
  • scopus:84880335825
  • pmid:23870495
ISSN
1471-2288
DOI
10.1186/1471-2288-13-94
language
English
LU publication?
yes
id
ceddfdad-b6a0-41b7-990e-5d4f968ef9c1 (old id 3955742)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/23870495?dopt=Abstract
date added to LUP
2016-04-01 14:36:42
date last changed
2022-03-29 21:52:21
@article{ceddfdad-b6a0-41b7-990e-5d4f968ef9c1,
  abstract     = {{One major concern with adaptive designs, such as the sample size adjustable designs, has been the fear of inflating the type I error rate. In (Stat Med 23:1023-1038, 2004) it is however proven that when observations follow a normal distribution and the interim result show promise, meaning that the conditional power exceeds 50%, type I error rate is protected. This bound and the distributional assumptions may seem to impose undesirable restrictions on the use of these designs. In (Stat Med 30:3267-3284, 2011) the possibility of going below 50% is explored and a region that permits an increased sample size without inflation is defined in terms of the conditional power at the interim.}},
  author       = {{Broberg, Per}},
  issn         = {{1471-2288}},
  language     = {{eng}},
  number       = {{Jul,19}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{BMC Medical Research Methodology}},
  title        = {{Sample size re-assessment leading to a raised sample size does not inflate type I error rate under mild conditions.}},
  url          = {{https://lup.lub.lu.se/search/files/4067656/4146437}},
  doi          = {{10.1186/1471-2288-13-94}},
  volume       = {{13}},
  year         = {{2013}},
}