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261 |
Selected statistical methods of data analysis for multivariate functional data
Enthalten in Statistical papers Bd. 59, 23.2.2016, Nr. 1, date:3.2018: 153-182
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262 |
Shape information from glucose curves: Functional data analysis compared with traditional summary measures
Enthalten in BMC medical research methodology Bd. 13, 17.1.2013, Nr. 1, date:12.2013: 1-15
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263 |
Sparse logistic functional principal component analysis for binary data
Enthalten in Statistics and computing Bd. 33, 11.12.2022, Nr. 1, date:2.2023: 1-12
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264 |
Special feature: functional data analysis and its applications
Enthalten in Behaviormetrika Bd. 46, 21.3.2019, Nr. 1, date:4.2019: 145-146
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265 |
State-transition dynamics of resting-state functional magnetic resonance imaging data: model comparison and test-to-retest analysis
Enthalten in BMC neuroscience Bd. 25, 4.3.2024, Nr. 1, date:12.2024: 1-19
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266 |
Taxonomic diversity, size-functional diversity, and species dominance interrelations in phytoplankton communities: a critical analysis of data interpretation
Enthalten in Marine biodiversity Bd. 50, 21.7.2020, Nr. 4, date:8.2020: 1-9
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267 |
The effectiveness of coronary computed tomography angiography and functional testing for the diagnosis of obstructive coronary artery disease: results from the individual patient data Collaborative Meta-Analysis of Cardiac CT (COME-CCT)
Enthalten in Insights into imaging Bd. 15, 14.8.2024, Nr. 1, date:12.2024: 1-14
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268 |
The impact of care process development and comorbidity on time to surgery, mortality rate and functional outcome for hip fracture patients: a retrospective analysis over 19 years with data from the Swedish National Registry for hip fracture patients, RIKSHÖFT
Enthalten in BMC musculoskeletal disorders Bd. 20, 26.12.2019, Nr. 1, date:12.2019: 1-8
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269 |
Trajectory of blood pressure change during pregnancy and the role of pre-gravid blood pressure: a functional data analysis approach
Enthalten in Scientific reports Bd. 7, 24.7.2017, Nr. 1, date:12.2017: 1-6
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270 |
Transcriptomic and functional network features of lung squamous cell carcinoma through integrative analysis of GEO and TCGA data
Enthalten in Scientific reports Bd. 8, 26.10.2018, Nr. 1, date:12.2018: 1-12
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