Search for dissertations about: "non-linear mixed effects models"

Showing result 11 - 15 of 18 swedish dissertations containing the words non-linear mixed effects models.

  2. 11. Pharmacometrics to characterize innate immune response and antibacterial treatments

    Author : Anders Thorsted; Lena E. Friberg; Elisabet I. Nielsen; Mats O. Karlsson; Gauri G. Rao; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; non-linear mixed effects modelling; modelling; pharmacokinetics; pharmacodynamics; pkpd; antibiotics; cefuroxime; piperacillin; phagocytes; lipopolysaccharide; endotoxin; porcine endotoxemia; challenge studies; sepsis; critically ill; Farmaceutisk vetenskap; Pharmaceutical Science;

    Abstract : The immune system protects the host against pathogens by distinguishing self from non-self. However, it is most-often disregarded in pharmacokinetic-pharmacodynamic (PKPD) characterization of (new and old) antibiotics. READ MORE

  4. 12. Models for Ordered Categorical Pharmacodynamic Data

    Author : Per-Henrik Zingmark; Mats O Karlsson; E. Niclas Jonsson; France Mentré; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacokinetics Pharmacotherapy; Pharmacodynamic; Modelling; Categorical data; NONMEM; Proportional odds model; Markov model; Differential drug effect model; Farmakokinetik Farmakoterapi; PHARMACY; FARMACI;

    Abstract : In drug development clinical trials are designed to investigate whether a new treatment is safe and has the desired effect on the disease in the target patient population. Categorical endpoints, for example different ranking scales or grading of adverse events, are commonly used to measure effects in the trials. READ MORE

  5. 13. Pharmacometric Models in Anesthesia and Analgesia

    Author : Marcus Björnsson; Ulrika Simonsson; Mats Karlsson; Leonid Gibiansky; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; Anesthesia; Analgesia; Dropout; NONMEM; Pharmacokinetics and Drug Therapy; Farmakokinetik och läkemedelsterapi;

    Abstract : Modeling is a valuable tool in drug development, to support decision making, improving study design, and aid in regulatory approval and labeling. This thesis describes the development of pharmacometric models for drugs used in anesthesia and analgesia. READ MORE

  6. 14. Accelerating Monte Carlo methods for Bayesian inference in dynamical models

    Author : Johan Dahlin; Thomas B. Schön; Fredrik Lindsten; Richard Everitt; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computational statistics; Monte Carlo; Markov chains; Particle filters; Machine learning; Bayesian optimisation; Approximate Bayesian Computations; Gaussian processes; Particle Metropolis-Hastings; Approximate inference; Pseudo-marginal methods;

    Abstract : Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. READ MORE

  7. 15. Deformation and Fatigue Behaviour of Aluminium Alloys for High Specific Power IC Engine Applications

    Author : Elanghovan Natesan; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; cylinder head; aluminium; constitutive models; thermo-mechanical fatigue; fatigue; ageing; mechanical behaviour; A356;

    Abstract : The development towards higher specific power and lower displacement engines in recent years has placed increasingly high thermal loads on the internal combustion engine materials. Further, the advent of hybrid power trains placing higher demands on quick starts and a rapid approach to maximum power necessitates the automotive industry to move towards a more robust computational thermo-mechanical fatigue life prediction methodology to develop reliable engines and reduce developmental costs. READ MORE