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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 +3 more
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Multilevel Models for Longitudinal Data [PDF]
Journal of the Royal Statistical Society Series A: Statistics in Society, 2007 SummaryRepeated measures and repeated events data have a hierarchical structure which can be analysed by using multilevel models. A growth curve model is an example of a multilevel random-coefficients model, whereas a discrete time event history model for recurrent events can be fitted as a multilevel logistic regression model.
openaire +4 more sources
Molecular Oncology, EarlyView.In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim +11 more
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BMC PsychiatryBackground 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 +7 more
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Growth dynamics of Indian infants using latent trajectory models in pooled survey datasets
Frontiers in Public HealthBackgroundNational 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 +8 more
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Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
The Need for Household Panel Surveys in Times of Crisis: The Case of SOEP-CoV
Survey Research Methods, 2020 The spread of the novel coronavirus, SARS-CoV-2, poses major challenges for individuals and societies at large. The question now is how individuals and society are dealing with these challenges, and what health, psychological, social, and economic
Simon Kühne +3 more
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Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Frontiers in Psychology, 2023 PurposePhysical fitness and fundamental motor skills are two important aspects for the healthy development of preschoolers. Despite the growing interest in clarifying their relationship, the scarcity of longitudinal studies prevents us from understanding
Jiebo Chen +5 more
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Recommendations for Incorporating Postsecondary and Workforce Data into Statewide Longitudinal Data Systems [PDF]
, 2010 Outlines the need for data systems to assess educational transitions, completions, and labor market outcomes of adult students and workers in postsecondary, adult education, and skill development programs in order to strengthen policies and ...
Andrew Reamer +4 more
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