Results 31 to 40 of about 1,229,920 (265)

Longitudinal data clustering methods: A Systematic Review

Journal of Biostatistics and Epidemiology, 2023
 In the last few decades, in many research fields, different methods were introduced to discover groups with the same trends in longitudinal data. The clustering process is an unsupervised learning method, which classifies longitudinal data based on ...
Arefeh Dehghani tafti, Yunes Jahani, Sara Jambarsang, Abbas Bahrampour   +3 more
doaj   +1 more source

BMT4me En Español: Multisite Feasibility and Usability Testing of a Spanish‐Language mHealth Adherence Support App for Spanish‐Speaking Caregivers of Children After Hematopoietic Stem Cell Transplantation and Cancer Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Medication nonadherence during the first 100 days after pediatric hematopoietic stem cell transplantation (HSCT) and during oncology treatment increases risk for complications. BMT4me is a caregiver‐facing mobile health (mHealth) application providing medication reminders, symptom tracking, and note‐taking features to support ...
Micah A. Skeens, Madeline R. Peek, Bianca Franklin, Emre Sezgin, Melissa Beauchemin   +4 more
wiley   +1 more source

ADRUK Ingest Improvement Task and Finish Group: Smoothing the ingest of data

International Journal of Population Data Science
Objectives Analysts ingest data to TREs for research; extract, process and curate public sector data then made accessible to researchers in safe environments. Although differences surround each dataset, the processes can be made broadly replicable.
Jen Bishop, Linus Chirchir, Rachel Coey, Amy Dunlop, Hywel Evans, David Grzybowski, Alan Harbinson, Cristina Magder, Nichola McCullough, Richard McFerran, Jen Muir, Alex Ramage, Stella Telford, Richard Thomas, Tudor Vilcan   +14 more
doaj   +1 more source

Advances in Analysis of Longitudinal Data [PDF]

Annual Review of Clinical Psychology, 2010
In this review, we explore recent developments in the area of linear and nonlinear generalized mixed-effects regression models and various alternatives, including generalized estimating equations for analysis of longitudinal data. Methods are described for continuous and normally distributed as well as categorical (binary, ordinal, nominal) and count ...
Robert D, Gibbons, Donald, Hedeker, Stephen, DuToit   +2 more
openaire   +2 more sources

Measurable Residual Disease Monitoring During Treatment for Pediatric Acute Myeloid Leukemia in First Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen, Kristian Juul Sandahl, Lene Karlsson, Jonas Abrahamsson, Nira Arad‐Cohen, Daniel Cheuk, Barbara De Moerloose, Linda Fogelstrand, Jose Maria Fernandez Navarro, Bianca F. Goemans, Kirsi Jahnukainen, Gertjan Kaspers, Zhanna Kovalova, Monica Cheng Munthe‐Kaas, Ulrika Norén‐Nyström, Josefine Palle, Ramune Pasauliene, Cornelis Jan Pronk, Kadri Saks, Anne Tierens, Henrik Hasle, Kristian Løvvik Juul‐Dam   +21 more
wiley   +1 more source

Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data

BMC Psychiatry
Background Pooling data from different sources will advance mental health research by providing larger sample sizes and allowing cross-study comparisons; however, the heterogeneity in how variables are measured across studies poses a challenge to this ...
Eoin McElroy, Thomas Wood, Raymond Bond, Maurice Mulvenna, Mark Shevlin, George B. Ploubidis, Mauricio Scopel Hoffmann, Bettina Moltrecht   +7 more
doaj   +1 more source

What Makes You Hold on to That Old Car? Joint Insights From Machine Learning and Multinomial Logit on Vehicle-Level Transaction Decisions

Frontiers in Future Transportation, 2022
What makes you hold on to that old car? While the vast majority of household vehicles are still powered by conventional internal combustion engines, the progress of adopting emerging vehicle technologies will critically depend on how soon the existing ...
Ling Jin, Alina Lazar, Caitlin Brown, Bingrong Sun, Venu Garikapati, Srinath Ravulaparthy, Qianmiao Chen, Alexander Sim, Kesheng Wu, Tin Ho, Thomas Wenzel, C. Anna Spurlock   +11 more
doaj   +1 more source

Growth dynamics of Indian infants using latent trajectory models in pooled survey datasets

Frontiers in Public Health
BackgroundNational survey data show that age- and sex-standardized weight and length measurements decline early in Indian children. In population-level longitudinal data, early detection of growth trajectories is important for the implementation of ...
Aswathi Saji, Jeswin Baby, Jeswin Baby, Prem Antony, Srishti Sinha, Sulagna Bandyopadhyay, Joby K. Jose, Anura V. Kurpad, Tinku Thomas   +8 more
doaj   +1 more source

T2* Magnetic Resonance Imaging Uncovers Hemosiderin Burden in Pediatric Hemophilia: A Call for Sensitive Imaging Biomarkers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hemophilic arthropathy remains the leading morbidity in hemophilia despite modern prophylaxis, and early joint damage may be missed by routine exams. This study explored T2* MRI as a noninvasive biomarker of hemosiderin deposition in pediatric hemophilia.
Jessica Garcia, Tarique Hussain, Jeanne Dillenbeck, Matthew Hammer, Annette von Drygalski, Guy Young, Ayesha Zia   +6 more
wiley   +1 more source

Group Testing for Longitudinal Data [PDF]

, 2015
We consider how to test for group differences of shapes given longitudinal data. In particular, we are interested in differences of longitudinal models of each group's subjects. We introduce a generalization of principal geodesic analysis to the tangent bundle of a shape space.
Yi Hong 0006, Nikhil Singh 0002, Roland Kwitt, Marc Niethammer   +3 more
openaire   +2 more sources