Sample size re-assessment leading to a raised sample size does not inflate type I error rate under mild conditions.
(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:
https://lup.lub.lu.se/record/3955742
- author
- Broberg, Per LU
- organization
- publishing date
- 2013
- 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}}, }