Name
Abstract | ||
|---|---|---|
Methods for the analysis of brain morphology, including voxel-based morphology and surface-based morphometries, have been used to detect associations between brain structure and covariates of interest, such as diagnosis, severity of disease, age, IQ, and genotype. The statistical analysis of morphometric measures usually involves two statistical procedures: 1) invoking a statistical model at each ... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TMI.2007.897396 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Statistical analysis,Testing,Surface morphology,Robustness,Brain modeling,Magnetic resonance imaging,Diseases,Computational modeling,Robust control,Error analysis | Voxel,Heteroscedasticity,Bootstrapping,Linear model,Brain morphometry,Statistical model,Statistics,Resampling,Statistical hypothesis testing,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 7 | 0278-0062 |
Citations | PageRank | References |
14 | 1.18 | 15 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongtu Zhu | 1 | 252 | 30.21 |
| Joseph G Ibrahim | 2 | 21 | 2.97 |
| Niansheng Tang | 3 | 48 | 18.50 |
| Daniel B Rowe | 4 | 14 | 1.18 |
| Xuejun Hao | 5 | 118 | 7.46 |
| Ravi Bansal | 6 | 218 | 20.86 |
| Bradley S Peterson | 7 | 115 | 16.96 |