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Mostrando 101 - 120 Resultados de 2,141 Para Buscar '"class analysis"', tiempo de consulta: 0.34s Limitar resultados
  1. 101
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    Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease
  2. 102
    “…We performed Latent Class Analysis on four domains in older adults’ indicators (physical, psychological, economic and social) to identify distinct classes of dependency profiles. …”
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    HETEROGENEITY IN MULTIDIMENSIONAL DEPENDENCY IN OLDER ADULTS IN MEXICO: A LATENT CLASS ANALYSIS APPROACH
  3. 103
    “…OBJECTIVE: We aimed to identify possible subphenotypes in a cohort of NERD patients with the means of latent class analysis (LCA). METHODS: A total of 95 asthma patients with aspirin hypersensitivity underwent sputum induction. …”
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    Subphenotypes of nonsteroidal antiinflammatory disease‐exacerbated respiratory disease identified by latent class analysis
  4. 104
    “…In this study, we used a novel approach—latent class analysis (LCA)—to assess heterogeneity. METHODS: We developed a health preference survey that consisted of 12 discrete choice questions. …”
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    Heterogeneity in Preferences for Anti-coagulant Use in Atrial Fibrillation: A Latent Class Analysis
  5. 105
    por Robitzsch, Alexander
    Publicado 2020
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    Regularized Latent Class Analysis for Polytomous Item Responses: An Application to SPM-LS Data
  6. 106
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    Subgrouping University Students Based on Substance Use Pattern: A Latent Class Analysis
  7. 107
    “…BACKGROUND AND OBJECTIVES: To investigate the reproducibility and validity of latent class analysis (LCA) and hierarchical cluster analysis (HCA), multiple correspondence analysis followed by k-means (MCA-kmeans) and k-means (kmeans) for multimorbidity clustering. …”
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    In simulated data and health records, latent class analysis was the optimum multimorbidity clustering algorithm
  8. 108
    “…Subgroups of people with different information needs and associated characteristics were identified using latent class analysis. RESULTS: We identified the following four classes of people with different information needs: ‘high needs on all topics’, ‘low needs on all topics’, ‘moderate needs with a focus on complications and diabetes in everyday life’, and ‘advanced needs with a focus on social and legal aspects and diabetes research’. …”
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    Different information needs in subgroups of people with diabetes mellitus: a latent class analysis
  9. 109
    “…Patients were then grouped using 2 methods (latent class analysis, generalized low-rank models, with k-means clustering). …”
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    Use of Latent Class Analysis and k-Means Clustering to Identify Complex Patient Profiles
  10. 110
    “…The data was from the cross-sectional survey on the profiles of family caregivers of older adults in Hong Kong. 932 family caregivers were classified into different classes by using the Latent class analysis (LCA) according to their engagements in the 17 daily caregiving activities: 6 activities of daily living (ADLs), 8 instrumental activities of daily living activities (IADLs), emotional support, decision-making, and financial support. …”
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    The Patterns of Caregiving Activities for Family Caregivers of Older Adults: A Latent Class Analysis
  11. 111
    “…We then used Latent Class Analysis (LCA) to group these teams based on EAFC model characteristics. …”
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    Using Latent Class Analysis to Identify Types of Elder Abuse: Multidisciplinary Team Interventions
  12. 112
    “…The objectives of the current study were (1) to identify BRD outcome groups using BRD indicators collected during the feeding phase and at slaughter through latent class analysis (LCA) and (2) to determine the importance of these BRD indicators to predict disease outcome. …”
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    Predicting bovine respiratory disease outcome in feedlot cattle using latent class analysis
  13. 113
    “…Latent class analysis is a well-established method in human and veterinary medicine for evaluating the accuracy of diagnostic tests without a gold standard. …”
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    An Iterative, Frequentist Approach for Latent Class Analysis to Evaluate Conditionally Dependent Diagnostic Tests
  14. 114
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    Neuropsychiatric profiles and conversion to dementia in mild cognitive impairment, a latent class analysis
  15. 115
    “…METHODS: Using a cross-sectional survey sent for a random sample of Finnish residents in single-person households (n = 884), we explored with latent class analysis whether the respondents form different health profiles based on the three health dimensions defined by the World Health Organization: physical, social, and mental well-being. …”
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    Profiles of subjective health among people living alone: a latent class analysis
  16. 116
    “…Factors related to lifestyle such as consumptions of alcohol and tobacco, physical activity, violence, parental support, anxiety, and loneliness were considered. A latent class analysis was performed to identify the profiles. …”
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    A Latent Class Analysis of Health Lifestyles in Relation to Suicidality among Adolescents in Mauritius
  17. 117
    “…Therefore, the present study aimed to investigate whether there are more homogeneous classes of forensic patients based on DSM-IV-TR Axis I and II diagnoses and previously committed offenses, by means of explorative latent class analysis (LCA). It was also investigated which risk and protective factors are significantly more prevalent in one class compared to other classes. …”
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    A Latent Class Analysis of Forensic Psychiatric Patients in Relation to Risk and Protective Factors
  18. 118
    “…Mplus 8.5 was used to conduct a latent class analysis of five domains of HRQOL. Four latent classes in the HRQOL of older adults, namely, stable type, physical disability type, emotional disability type, and crisis type were found. …”
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    A Latent Class Analysis of Health-Related Quality of Life in Korean Older Adults
  19. 119
    “…The motives for staying in post-retirement employment vary as well: using latent class analysis, we find four distinct patterns of motives that can be classified as (1) financially-driven, (2) status-driven, (3) contact and fun-driven, as well as (4) generativity-driven, underlining the complexity of retirement decisions. …”
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    Attitudes towards working in retirement: a latent class analysis of older workers’ motives
  20. 120
    “…Methods: We applied latent class analysis to identify subphenotypes of MHT, using the clinical and biological information collected from High-risk Cardiovascular Factor Screening and Chronic Disease Management Programme. …”
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    Using Latent Class Analysis to Identify Different Risk Patterns for Patients With Masked Hypertension
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