Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 78 for “"joint model"”.
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Semiparametric Bayesian Joint Model With Variable Selection
<p>In longitudinal studies, a popular model is the linear mixed model that includes fixed effects and subject specific random effects. In many clinical trials and other medical and reliability studies, we can often obtain repeated measurements or longitudinal data that includes survival or …
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Simulation of anterior cruciate ligament injury and reconstruction using a 3D finite element knee joint model
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2002.
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Diagnostics for joint models for longitudinal and survival data
Joint models for longitudinal and survival data are a class of models that jointly analyse an outcome repeatedly observed over time such as a bio-marker and associated event times. These models are useful in two practical applications; firstly focusing on survival outcome whilst accounting for time …
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Application of dynamic prediction models for longitudinal biomarkers and clinical outcomes in low and middle-income settings
… the modernisation of clinical care, prediction models have received greater attention in analysing such data. Prognosis prediction modelling approaches have been widely adopted, especially with digitising health records into electronic health records (EHRs). Dynamic prediction modelling has …
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JOINT MODELING OF MULTIVARIATE LONGITUDINAL DATA AND COMPETING RISKS DATA
… due to informative dropout, one has to jointly model the longitudinal data and the timeto event outcomes in order to obtain valid inferences. Recently, there has been much attention paid to the joint analysis of single longitudinal measurements and single time to event data. A natural …
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Stability Around Underground Openings in Rock With Dilative, Non-Persistent and Multi-Scale Wavy Joints Using a Discrete Element Method
The new joint model and the growing knowledge through wedge analyses and Washington Metro System case study will facilitate the understanding of the mechanism of tunneling and its required support in rock mechanic practice.
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Multiple aspect ranking for opinion analysis
… for each aspect. We present an algorithm that jointly learns ranking models for individual aspects by modeling the dependencies between assigned ranks. This algorithm guides the prediction of individual rankers by analyzing meta-relations between opinions, such as agreement and contrast. We …
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Wellbore Microannulus Characterization and Seal Repair: Computational and Lab Scale Modeling
… with an epoxy nanocomposite material. Numerical models are used to analyze stress and displacement conditions along the casing-cement interface. These numerical results provide excellent agreement with closed-form elastic solutions. Models with flaws of varying dimensions along the casing-cement …
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Bayesian methodology for integrating multiple data sources and specifying priors from predictive information
The joint model for observable quantities and latent parameters is the starting point for Bayesian inference. It is challenging to specify such a model so that it both accurately describes the phenomena being studied, and is compatible with the available data. In this thesis we address challenges …
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Modelling multivariate longitudinal outcomes and time-to-event data
… a time-to-event outcome among subjects. Joint models for longitudinal and survival data simultaneously analyse repetitively measured outcomes and associated event times. They offer valuable applications in two contexts: accounting for time-varying covariates measured with error when …
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Dynamic Prediction of Disease Progression With Longitudinal Data
… of longitudinal and time-to-event data through joint modeling, a prevalent technique. Alongside joint modeling, landmark modeling stands as another key approach in the realm of longitudinal studies. These methodologies are instrumental in dynamically predicting clinical events by utilizing …
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Modeling the function of the cerebellum in scheduled linear servo control of simple horizontal planar arm movements
A new set of models has been developed that suggests that the intermediate and lateral anterior cerebellum mediate scheduled linear servo control of simple single-joint and two-joint arm movements. These models propose that the problem of stabilization in the presence of delays is handled by …
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Bilateral exchanges in social networks and the design of public institutions
… based approach in sociology. I also give a joint model of externalities and peer pressure in networks and propose mechanisms to control externalities in networked societies. The study of exchanges in networks is big and growing. In this thesis, I focus on exclusive exchanges or matching in …
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Intelligent modelling and control with fatigue reduction for fes induced knee joint of hemiplegic for rehabilitation
… The development of the intelligent hemiplegic model of the knee joint and control strategies with fatigue reduction for the FES control application are the main concern of this thesis. Modelling the musculoskeletal is significantly challenging due to the complexity of the system. Development of …
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Geometry Reconstruction and Finite Element Modelling of Porcine Knee Joint
… interplays among the different tissues in the joint. Animal joints are often used to validate a computational model and understand human joint mechanics. The objectives of this research are to construct the geometry of the porcine stifle joint using a combined CT and automated indentation …
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Non-linear digital control of a McKibben muscle system
… control of these pneumatic muscles, a physical joint model was constructed with an agonist and an antagonist muscle operating under non-linear control. With the use of LabVIEW software, compliant McKibben air muscles and Flock-of-Birds sensor, the author was able to implement and compare a …
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Joint Modeling of Tumor Size and Time-to-Event
… component) are often collected. In order to model these two components simultaneously, the joint modeling approach which can reduce potential biases and improve the efficiency in estimating treatment effects becomes increasingly important. In this work, we proposed a joint model where a …
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Preliminary Design Approach for Prosthetic Ankle Joints Using Compliant Mechanisms
… this thesis is to develop design approaches and models for prosthetic ankle joints using kinematic models of the human ankle and compliant mechanisms technology. Compliant mechanisms offer several potential design advantages over traditional rigid-body designs including high reliability and low …
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Bayesian modelling of nuclear fusion experiments
… theory as a general framework for scientific modelling and inference is introduced and applied to nuclear fusion experiments in order to provide consistent inference solutions given multiple heterogeneous data sets. Fusion plasmas are complex physical systems, in which charged particles are …
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Time-Varying Coefficient Models for Recurrent Events
I have developed time-varying coefficient models for recurrent event data to evaluate the temporal profiles for recurrence rate and covariate effects. There are three major parts in this dissertation. The first two parts propose a mixed Poisson process model with gamma frailties for single type …
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