Neck Stabilization Exercises Enhance Respiratory Function after Stroke: Respiratory Function Index Change Trajectory Analyzed Using a Hierarchical Linear Model [PDF]
Medicina, 2021 Background and Objectives: This study aimed to assess the effect of neck stabilization exercise on respiratory function in stroke patients through longitudinal observation and determine whether there is a difference in its effect based on the side of ...
So-Hyun Kim, Sung-Hyoun Cho
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Patient Satisfaction, Quality Attributes, and Organizational Characteristics: A Hierarchical Linear Model Approach [PDF]
Journal of Patient Experience, 2020 Patient satisfaction studies have gained more and more attention, and there are many patient satisfaction studies. These studies assume that patients were selected randomly and independently, but patient satisfaction surveys are described as a multistage
Koichiro Otani PhD +3 more
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The effects of school bullying victimization on the development of adolescent depression across genders: a hierarchical linear model analysis [PDF]
BMC Public HealthBackground Adolescents are particularly vulnerable to depression. This longitudinal study examines gender differences in the developmental trajectories of depressive symptoms and investigates how school bullying victimization influences these ...
Linhui Liu +9 more
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Insight into Genome-Wide Associations of Growth Trajectories Using a Hierarchical Non-Linear Mixed Model [PDF]
BiologyIn applying a hierarchical mixed model to genome-wide association analysis (GWAS) of longitudinal data, dimensionality reduction through modeling repeated measurements improves both computational efficiency and statistical power. Legendre polynomials can
Ying Zhang +3 more
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Hierarchical Linear Model of Internet Addiction and Associated Risk Factors in Chinese Adolescents: A Longitudinal Study. [PDF]
Int J Environ Res Public Health, 2022 Li G.
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Hierarchical Generalized Linear Models
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1996 SUMMARY We consider hierarchical generalized linear models which allow extra error components in the linear predictors of generalized linear models. The distribution of these components is not restricted to be normal; this allows a broader class of models, which includes generalized linear mixed models.
Y. Lee, J. A. Nelder
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Current Research in Neurobiology, 2021 Nested data structures create statistical dependence that influences the effective sample size and statistical power of a study. Several methods are available for dealing with nested data, including the summary-statistics approach and multilevel ...
Carolyn Beth McNabb, Kou Murayama
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Albatross analytics a hands-on into practice: statistical and data science application
Journal of Big Data, 2022 Albatross Analytics is a statistical and data science data processing platform that researchers can use in disciplines of various fields. Albatross Analytics makes it easy to implement fundamental analysis for various regressions with random model ...
Rezzy Eko Caraka +7 more
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Applying the Multilevel Approach in Estimation of Income Population Differences
Stats, 2022 Income inequality remains one of the most burning issues discussed in the world. The difficulty of the problem arises from its multiple manifestations at regional and local levels and unique patterns within countries.
Venera Timiryanova +2 more
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Pediatrics and Neonatology, 2023 Background: The role home-schooling of children in parental mental health during the COVID-19 pandemic in Taiwan remains unknown. This study aimed to assess the association between parental psychological distress and home-schooling in a socio-ecological ...
Chin-Wan Wang +4 more
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