Population stochastic modelling (PSM)—An R package for mixed-effects models based on stochastic differential equations

Klim, Søren; Mortensen, Stig Bousgaard; Kristensen, Niels Buus; Overgaard, Rune Viig; Madsen, Henrik

doi:10.1016/j.cmpb.2009.02.001

Cited by 39 publications

(49 citation statements)

References 9 publications

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“…Population models include population parameters and random effects representing the intersubject variability in the parameter values. 21,22 This type of model has shown great potential within PK/PD modeling.…”

Section: Discussionmentioning

confidence: 99%

Model Identification Using Stochastic Differential Equation Grey-Box Models in Diabetes

Duun‐Henriksen

Schmidt

Røge

et al. 2013

J Diabetes Sci Technol

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Section: Discussionmentioning

confidence: 99%

Model Identification Using Stochastic Differential Equation Grey-Box Models in Diabetes

Duun‐Henriksen

Schmidt

Røge

et al. 2013

J Diabetes Sci Technol

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“…Various theoretical approaches can be used to adapt the control parameters toward the behavior characteristics of a specific individual. Examples are state estimation, mixed-effects pharmacokinetic or dynamic modeling using Bayesian estimation [33 • , 34], Kalman filtering [35], fuzzy logic [31,36] or other engineering techniques such as neural network applications [37] and reinforced learning [38,39]. Bayesian optimization, as proposed by Sheiner and coworkers [40], individualizes the pharmacodynamic relationship by combining individual information with the knowledge of an a priori probability density function containing the statistical properties of the parameter to be estimated [41].…”

Section: Control Methodsmentioning

confidence: 99%

Automated Drug Delivery in Anesthesia

Neckebroek

Smet²,

Struys

2012

Curr Anesthesiol Rep

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Automated drug administration by closed-loop systems has been proposed to optimize drug administration during anesthesia and sedation. Closed-loop systems are able to make decision on their own and try to reach and maintain a preset target. This review describes the milestones and recent development in automated drug delivery systems applicable during sedation, anesthesia and postoperative pain relief.

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“…The project aims to model the relationship between ECG [37] characteristics and CPR [38] quality during cardiac arrest. The model has been developed in R [22] based on the Population Stochastic Modeling (PSM) [39] package. The model estimates population parameters in a mixed effects model based on stochastic differential equations [39], and is computational intensive.…”

Section: Ecg-cpr Model (R)mentioning

confidence: 99%

“…The model has been developed in R [22] based on the Population Stochastic Modeling (PSM) [39] package. The model estimates population parameters in a mixed effects model based on stochastic differential equations [39], and is computational intensive. It takes about 500 CPU hours, or three weeks of computation for a single run of the model.…”

Section: Ecg-cpr Model (R)mentioning

confidence: 99%

Stroll: A Universal Filesystem-Based Interface for Seamless Task Deployment in Grid Computing

Azab

Meling

2012

Distributed Applications and Interoperable Systems

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Abstract. Developing applications for solving compute intensive problems is not trivial. Despite availability of a range of Grid computing platforms, domain specialists and scientists only rarely take advantage of these computing facilities. One reason for this is the complexity of Grid computing, and the need to learn a new programming environment to interact with the Grid. Typically, only a few programming languages are supported, and often scientists use special-purpose languages that are not supported by most Grid platforms. Moreover, users cannot easily deploy their compute tasks to multiple Grid platforms without rewriting their program to use different task submission interfaces.In this paper we present Stroll, a universal filesystem-based interface for seamless task submission to one or more Grid facilities. Users interact with the Grid through simple read and write filesystem commands. Stroll allows all categories of users to submit and manage compute tasks both manually, and from within their programs, which may be written in any language. Stroll has been implemented on Windows and Linux, and we demonstrate that we can submit the same compute tasks to both Condor and Unicore clusters. Our evaluation shows the overhead of Stroll to negligible. Comparing the code complexity of a Stroll compute task with command-line clients and Grid APIs show that Stroll can eliminated up to 95% of the complexity.

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Population stochastic modelling (PSM)—An R package for mixed-effects models based on stochastic differential equations

Cited by 39 publications

References 9 publications

Model Identification Using Stochastic Differential Equation Grey-Box Models in Diabetes

Model Identification Using Stochastic Differential Equation Grey-Box Models in Diabetes

Automated Drug Delivery in Anesthesia

Stroll: A Universal Filesystem-Based Interface for Seamless Task Deployment in Grid Computing

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