Bayesian hierarchical joint modeling of repeatedly measured continuous and ordinal markers of disease severity: Application to Ugandan diabetes data.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7444
Abstract: Modeling of correlated biomarkers jointly has been shown to improve the efficiency of parameter estimates, leading to better clinical decisions. In this paper, we employ a joint modeling approach to a unique diabetes dataset, where… read more here.
Keywords: hierarchical joint; disease severity; bayesian hierarchical; joint modeling ... See more keywords
Improving categorical endpoint longitudinal exposure-response modeling through the joint modeling with a related endpoint.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of pharmacokinetics and pharmacodynamics"
DOI: 10.1007/s10928-021-09796-3
Abstract: Exposure-response modeling is important to optimize dose and dosing regimens in clinical drug development. While primary clinical trial endpoints often have few categories and thus provide only limited information, sometimes there may be additional, more… read more here.
Keywords: response modeling; exposure response; endpoint; response ... See more keywords
Joint modeling of lithosphere and mantle dynamics: Sensitivity to viscosities within the lithosphere, asthenosphere, transition zone, and D" layers
Sign Up to like & getrecommendations! Published in 2019 at "Physics of the Earth and Planetary Interiors"
DOI: 10.1016/j.pepi.2019.05.006
Abstract: Abstract Although mantle rheology is one of the most important properties of the Earth, how a radial mantle viscosity structure affects lithosphere dynamics is still poorly known, particularly the role of the lithosphere, asthenosphere, transition… read more here.
Keywords: lithosphere asthenosphere; transition zone; asthenosphere transition; joint modeling ... See more keywords
Joint modeling: an application in behavioural scoring
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Operational Research Society"
DOI: 10.1080/01605682.2018.1487821
Abstract: Abstract Survival analysis has become an appealing approach in credit scoring. It is able to readily incorporate time-dependent covariates and dynamically predict the survival probability. However, the difference between endogenous and exogenous covariates is ignored… read more here.
Keywords: joint modeling; performance; application behavioural; behavioural scoring ... See more keywords
Bayesian joint modeling of ordinal longitudinal measurements and competing risks survival data for analysing Tehran Lipid and Glucose Study
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2020.1730876
Abstract: ABSTRACT In this paper, joint modeling of longitudinal ordinal measurements and time to some events of interest as competing risks is discussed. For this purpose, a latent variable sub-model under linear mixed-effects assumption is considered… read more here.
Keywords: longitudinal measurements; modeling ordinal; joint modeling; model ... See more keywords
Gaze Estimation via the Joint Modeling of Multiple Cues
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3071621
Abstract: How to automatically predict people’s gaze has attracted attention in the field of computer vision and machine learning. Previous studies on this topic set many constraints, such as restricted scenarios and strict and complex inputs.… read more here.
Keywords: multiple cues; modeling multiple; via joint; estimation ... See more keywords
An adaptive design for the identification of the optimal dose using joint modeling of continuous repeated biomarker measurements and time-to-toxicity in phase I/II clinical trials in oncology
Sign Up to like & getrecommendations! Published in 2019 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280219837737
Abstract: We present a new adaptive dose-finding method, based on a joint modeling of longitudinal continuous biomarker activity measurements and time to first dose limiting toxicity, with a shared random effect. Estimation relies on likelihood that… read more here.
Keywords: measurements time; phase; joint modeling; biomarker ... See more keywords
A joint modeling approach for longitudinal microbiome data improves ability to detect microbiome associations with disease
Sign Up to like & getrecommendations! Published in 2020 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1008473
Abstract: Changes in the composition of the microbiome over time are associated with myriad human illnesses. Unfortunately, the lack of analytic techniques has hindered researchers’ ability to quantify the association between longitudinal microbial composition and time-to-event… read more here.
Keywords: methodology; joint modeling; time; microbiome ... See more keywords
Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Software"
DOI: 10.18637/jss.v093.i02
Abstract: This paper is devoted to the R package JSM which performs joint statistical modeling of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along… read more here.
Keywords: survival longitudinal; package jsm; modeling survival; joint modeling ... See more keywords
Targeted L1-Regularization and Joint Modeling of Neural Networks for Causal Inference
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24091290
Abstract: The calculation of the Augmented Inverse Probability Weighting (AIPW) estimator of the Average Treatment Effect (ATE) is carried out in two steps, where in the first step, the treatment and outcome are modeled, and in… read more here.
Keywords: aipw estimator; targeted regularization; regularization joint; treatment ... See more keywords