Matches in SemOpenAlex for { <https://semopenalex.org/work/W1968595935> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W1968595935 abstract "Longitudinal imaging studies are essential to understanding the neural development of neuropsychiatric disorders, substance use disorders, and normal brain. Using appropriate image processing and statistical tools to analyze the imaging, behavioral, and clinical data is critical for optimally exploring and interpreting the findings from those imaging studies. However, the existing imaging processing and statistical methods for analyzing imaging longitudinal measures are primarily developed for cross-sectional neuroimaging studies. The simple use of these cross-sectional tools to longitudinal imaging studies will significantly decrease the statistical power of longitudinal studies in detecting subtle changes of imaging measures and the causal role of time-dependent covariate in disease process. The main objective of this paper is to develop longitudinal statistics toolbox, called LSTGEE, for the analysis of neuroimaging data from longitudinal studies. We develop generalized estimating equations for jointly modeling imaging measures with behavioral and clinical variables from longitudinal studies. We develop a test procedure based on a score test statistic and a resampling method to test linear hypotheses of unknown parameters, such as associations between brain structure and function and covariates of interest, such as IQ, age, gene, diagnostic groups, and severity of disease. We demonstrate the application of our statistical methods to the detection of the changes of the fractional anisotropy across time in a longitudinal neonate study. Particularly, our results demonstrate that the use of longitudinal statistics can dramatically increase the statistical power in detecting the changes of neuroimaging measures. The proposed approach can be applied to longitudinal data with multiple outcomes and accommodate incomplete and unbalanced data, i.e., subjects with different number of measurements." @default.
- W1968595935 created "2016-06-24" @default.
- W1968595935 creator A5000937401 @default.
- W1968595935 creator A5006302877 @default.
- W1968595935 creator A5017202683 @default.
- W1968595935 creator A5023707205 @default.
- W1968595935 creator A5052040538 @default.
- W1968595935 creator A5052698941 @default.
- W1968595935 creator A5077961759 @default.
- W1968595935 date "2009-02-26" @default.
- W1968595935 modified "2023-09-26" @default.
- W1968595935 title "LSTGEE: longitudinal analysis of neuroimaging data" @default.
- W1968595935 cites W1528119265 @default.
- W1968595935 cites W1829935101 @default.
- W1968595935 cites W1965138864 @default.
- W1968595935 cites W1976954310 @default.
- W1968595935 cites W1977461050 @default.
- W1968595935 cites W1983818325 @default.
- W1968595935 cites W2009137971 @default.
- W1968595935 cites W2013930726 @default.
- W1968595935 cites W2016285576 @default.
- W1968595935 cites W2022530159 @default.
- W1968595935 cites W2067109748 @default.
- W1968595935 cites W2086544889 @default.
- W1968595935 cites W2097047986 @default.
- W1968595935 cites W2098762353 @default.
- W1968595935 cites W2121991145 @default.
- W1968595935 cites W2138903016 @default.
- W1968595935 cites W2145714441 @default.
- W1968595935 cites W2145816995 @default.
- W1968595935 cites W2149860264 @default.
- W1968595935 doi "https://doi.org/10.1117/12.812432" @default.
- W1968595935 hasPublicationYear "2009" @default.
- W1968595935 type Work @default.
- W1968595935 sameAs 1968595935 @default.
- W1968595935 citedByCount "2" @default.
- W1968595935 countsByYear W19685959352018 @default.
- W1968595935 countsByYear W19685959352022 @default.
- W1968595935 crossrefType "proceedings-article" @default.
- W1968595935 hasAuthorship W1968595935A5000937401 @default.
- W1968595935 hasAuthorship W1968595935A5006302877 @default.
- W1968595935 hasAuthorship W1968595935A5017202683 @default.
- W1968595935 hasAuthorship W1968595935A5023707205 @default.
- W1968595935 hasAuthorship W1968595935A5052040538 @default.
- W1968595935 hasAuthorship W1968595935A5052698941 @default.
- W1968595935 hasAuthorship W1968595935A5077961759 @default.
- W1968595935 hasConcept C169760540 @default.
- W1968595935 hasConcept C41008148 @default.
- W1968595935 hasConcept C58693492 @default.
- W1968595935 hasConcept C86803240 @default.
- W1968595935 hasConceptScore W1968595935C169760540 @default.
- W1968595935 hasConceptScore W1968595935C41008148 @default.
- W1968595935 hasConceptScore W1968595935C58693492 @default.
- W1968595935 hasConceptScore W1968595935C86803240 @default.
- W1968595935 hasLocation W19685959351 @default.
- W1968595935 hasOpenAccess W1968595935 @default.
- W1968595935 hasPrimaryLocation W19685959351 @default.
- W1968595935 hasRelatedWork W2027542625 @default.
- W1968595935 hasRelatedWork W2102312026 @default.
- W1968595935 hasRelatedWork W2327340211 @default.
- W1968595935 hasRelatedWork W2358668433 @default.
- W1968595935 hasRelatedWork W2390279801 @default.
- W1968595935 hasRelatedWork W2748952813 @default.
- W1968595935 hasRelatedWork W2899084033 @default.
- W1968595935 hasRelatedWork W4292199793 @default.
- W1968595935 hasRelatedWork W2282195379 @default.
- W1968595935 hasRelatedWork W2295388821 @default.
- W1968595935 isParatext "false" @default.
- W1968595935 isRetracted "false" @default.
- W1968595935 magId "1968595935" @default.
- W1968595935 workType "article" @default.