A review on longitudinal data analysis with random forest
J Hu, S Szymczak - Briefings in Bioinformatics, 2023 - academic.oup.com
In longitudinal studies variables are measured repeatedly over time, leading to clustered
and correlated observations. If the goal of the study is to develop prediction models …
and correlated observations. If the goal of the study is to develop prediction models …
Generalized estimating equations in longitudinal data analysis: a review and recent developments
M Wang - Advances in Statistics, 2014 - Wiley Online Library
Generalized Estimating Equation (GEE) is a marginal model popularly applied for
longitudinal/clustered data analysis in clinical trials or biomedical studies. We provide a …
longitudinal/clustered data analysis in clinical trials or biomedical studies. We provide a …
Critical Period After Stroke Study (CPASS): A phase II clinical trial testing an optimal time for motor recovery after stroke in humans
Restoration of human brain function after injury is a signal challenge for translational
neuroscience. Rodent stroke recovery studies identify an optimal or sensitive period for …
neuroscience. Rodent stroke recovery studies identify an optimal or sensitive period for …
[图书][B] Angewandte statistik
J Hedderich, L Sachs - 2016 - Springer
Im Juni 2019 ist Prof. Lothar Sachs verstorben, ein Wegbereiter und Mentor für die
Anwendung statistischer Methoden in zahlreichen Gebieten. Er wurde 1929 in Berlin …
Anwendung statistischer Methoden in zahlreichen Gebieten. Er wurde 1929 in Berlin …
[引用][C] Intensive longitudinal methods: An introduction to diary and experience sampling research
N Bolger - The Guilford Express, 2013 - books.google.com
A complete, practical guide to planning and executing an intensive longitudinal study, this
book provides the tools for understanding within-subject social, psychological, and …
book provides the tools for understanding within-subject social, psychological, and …
Little's test of missing completely at random
C Li - The Stata Journal, 2013 - journals.sagepub.com
In missing-data analysis, Little's test (1988, Journal of the American Statistical Association
83: 1198–1202) is useful for testing the assumption of missing completely at random for …
83: 1198–1202) is useful for testing the assumption of missing completely at random for …
Estimation of extended mixed models using latent classes and latent processes: the R package lcmm
C Proust-Lima, V Philipps, B Liquet - arXiv preprint arXiv:1503.00890, 2015 - arxiv.org
The R package lcmm provides a series of functions to estimate statistical models based on
linear mixed model theory. It includes the estimation of mixed models and latent class mixed …
linear mixed model theory. It includes the estimation of mixed models and latent class mixed …
Computational health informatics in the big data age: a survey
The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …
of research activity in the healthcare and data sciences fields. The conventional approaches …
[图书][B] Modern statistics for the social and behavioral sciences: A practical introduction
R Wilcox - 2017 - taylorfrancis.com
Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences
provides a two-semester, graduate-level introduction to basic statistical techniques that …
provides a two-semester, graduate-level introduction to basic statistical techniques that …