| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 6qtX3pFwXQZG2LgkFdY/LJyAe |
| Repository | sid.inpe.br/sibgrapi@80/2006/07.12.15.38 |
| Last Update | 2006:07.12.15.38.07 (UTC) administrator |
| Metadata Repository | sid.inpe.br/sibgrapi@80/2006/07.12.15.38.08 |
| Metadata Last Update | 2022:06.14.00.13.10 (UTC) administrator |
| DOI | 10.1109/SIBGRAPI.2006.27 |
| Citation Key | Machado:2006:InStPo |
| Title | Increasing statistical power in medical image analysis  |
| Format | On-line |
| Year | 2006 |
| Access Date | 2025, Feb. 10 |
| Number of Files | 1 |
| Size | 161 KiB |
| 2. Context | |
| Author | Machado, Alexei Manso Correa |
| Affiliation | PUC Minas |
| Editor | Oliveira Neto, Manuel Menezes de Carceroni, Rodrigo Lima |
| e-Mail Address | alexei@pucminas.br |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI) |
| Conference Location | Manaus, AM, Brazil |
| Date | 8-11 Oct. 2006 |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Book Title | Proceedings |
| Tertiary Type | Full Paper |
| History (UTC) | 2008-07-17 14:11:02 :: alexeimachado -> administrator :: 2009-08-13 20:38:01 :: administrator -> banon :: 2010-08-28 20:02:23 :: banon -> administrator :: 2022-06-14 00:13:10 :: administrator -> :: 2006 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | multiple comparison correction image registration Bonferroni correction |
| Abstract | In this paper, we present a novel method for estimating the effective number of independent variables in imaging applications that require multiple hypothesis testing. The method increases the statistical power of the results by refuting the assumption of independence among variables, while keeping the probability of false positives low. It is based on the spectral graph theory, in which the variables are seen as the vertices of a complete undirected graph and the correlation matrix as the adjacency matrix that weights its edges. By computing the eigenvalues of the correlation matrix, it is possible to obtain valuable information about the dependence levels among the variables of the problem. The method is compared to other available models and its effectiveness illustrated in a case study on the morphology of the human corpus callosum. . |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Increasing statistical power... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Increasing statistical power... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LJyAe |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LJyAe |
| Language | en |
| Target File | machado-increasing.pdf |
| User Group | alexeimachado administrator |
| Visibility | shown |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPEW34M/46RFT7E 8JMKD3MGPEW34M/4742MCS |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.08.00.20 14 sid.inpe.br/sibgrapi/2022/06.10.21.49 2 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |