A joint model for multiple dynamic processes and clinical endpoints: Application to Alzheimer's disease.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8328
Abstract: As other neurodegenerative diseases, Alzheimer's disease, the most frequent dementia in the elderly, is characterized by multiple progressive impairments in the brain structure and in clinical functions such as cognitive functioning and functional disability. Until… read more here.
Keywords: dementia; joint model; alzheimer disease; model ... See more keywords
A two‐level copula joint model for joint analysis of longitudinal and competing risks data
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9704
Abstract: In this article, we propose a two‐level copula joint model to analyze clinical data with multiple disparate continuous longitudinal outcomes and multiple event‐times in the presence of competing risks. At the first level, we use… read more here.
Keywords: two level; joint model; copula joint; level copula ... See more keywords
Numerical Modeling of the Relationship Between Mechanical Properties of Granite and Microparameters of the Flat-Joint Model Considering Particle Size Distribution
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Geosciences"
DOI: 10.1007/s11004-018-09780-7
Abstract: AbstractDeep geothermal energy is typically stored in granite reservoirs, and natural granite is highly heterogeneous because it is composed of different sizes and shapes of mineral grains. The mechanical properties of granite are significantly affected… read more here.
Keywords: joint model; properties granite; particle; mechanical properties ... See more keywords
Roles of model size and particle size distribution on macro-mechanical properties of Lac du Bonnet granite using flat-joint model
Sign Up to like & getrecommendations! Published in 2018 at "Computers and Geotechnics"
DOI: 10.1016/j.compgeo.2018.07.007
Abstract: Abstract In this study, a new calibration procedure was proposed to calibrate the micro-parameters for the flat-joint model. Both uniaxial compression and Brazilian test simulations were conducted on standard and same-porosity specimens using flat-joint model.… read more here.
Keywords: model size; joint model; size; model ... See more keywords
Development and validation of a subject-specific moving-axis tibiofemoral joint model using MRI and EOS imaging during a quasi-static lunge.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of biomechanics"
DOI: 10.1016/j.jbiomech.2018.02.032
Abstract: The aims of this study were to introduce and validate a novel computationally-efficient subject-specific tibiofemoral joint model. Subjects performed a quasi-static lunge while micro-dose radiation bi-planar X-rays (EOS Imaging, Paris, France) were captured at roughly… read more here.
Keywords: joint model; moving axis; model; tibiofemoral joint ... See more keywords
Joint model for bivariate zero-inflated recurrent event data with terminal events
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2020.1744539
Abstract: Bivariate recurrent event data are observed when subjects are at risk of experiencing two different type of recurrent events. In this paper, our interest is to suggest statistical model when there is a substantial portion… read more here.
Keywords: recurrent event; event data; joint model; event ... See more keywords
A Service-Based Joint Model Used for Distributed Learning: Application for Smart Agriculture
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2020.3048671
Abstract: Distributed analytics facilitate to make the data-driven services smarter for a wider range of applications in many domains, including agriculture. The key to producing services at such level is timely analysis for deriving insights from… read more here.
Keywords: application; agriculture; joint model; model ... See more keywords
A semiparametric joint model for cluster size and subunit-specific interval-censored outcomes.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13795
Abstract: Clustered data frequently arise in biomedical studies, where observations, or subunits, measured within a cluster are associated. The cluster size is said to be informative, if the outcome variable is associated with the number of… read more here.
Keywords: joint model; interval censored; semiparametric joint; cluster ... See more keywords
A Joint Model for Unbalanced Nested Repeated Measures with Informative Drop-Out Applied to Ambulatory Blood Pressure Monitoring Data
Sign Up to like & getrecommendations! Published in 2022 at "BioMed Research International"
DOI: 10.1155/2022/4452158
Abstract: This study proposes a Bayesian joint model with extended random effects structure that incorporates nested repeated measures and provides simultaneous inference on treatment effects over time and drop-out patterns. The proposed model includes flexible splines… read more here.
Keywords: pressure; blood pressure; nested repeated; joint model ... See more keywords
Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location model
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280216665872
Abstract: Estimating the parameters of a regression model of interest is complicated by missing data on the variables in that model. Multiple imputation is commonly used to handle these missing data. Joint model multiple imputation and… read more here.
Keywords: imputation; conditional specification; multiple imputation; joint model ... See more keywords
A joint model for multivariate hierarchical semicontinuous data with replications
Sign Up to like & getrecommendations! Published in 2019 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280217738141
Abstract: Longitudinal data are often collected in biomedical applications in such a way that measurements on more than one response are taken from a given subject repeatedly overtime. For some problems, these multiple profiles need to… read more here.
Keywords: joint model; multivariate; model; hierarchical semicontinuous ... See more keywords