Search for dissertations about: "mixed-effects models"

Showing result 1 - 5 of 67 swedish dissertations containing the words mixed-effects models.

  2. 1. Contributions to nonlinear mixed-effects modeling

    Author : Jacob Leander; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; nonlinear mixed-effects models; stochastic differential equations; parameter estimation; extended Kalman filter; sensitivity equations; stochastic differential equations;

    Abstract : The topic of this thesis is nonlinear mixed-effects models. A nonlinear mixed-effects model is a hierarchical regression model used to analyze measurements from several individuals simultaneously, which allows sharing of information between similar individuals. READ MORE

  4. 2. Nonlinear Mixed Effects Modeling of Combination Therapies in Oncology

    Author : Marcus Baaz; Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC); []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacol- ogy; Radiation Therapy; Oncology; Mathematical Modeling; Combination Therapy; Nonlinear Mixed Effects;

    Abstract : It has been shown that simultaneous administration of two or more anticancer agents can have a beneficial effect on cancer patients. This type of treatment is called combination therapy and is nowadays commonly used in the fight against cancer. READ MORE

  5. 3. Practical Optimal Experimental Design in Drug Development and Drug Treatment using Nonlinear Mixed Effects Models

    Author : Joakim Nyberg; Andrew C. Hooker; Mats O. Karlsson; Sergei Leonov; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; optimal design; nonlinear mixed effects models; robust design; optimizing drug development; population models; Pharmacokinetics and Drug Therapy; Farmakokinetik och läkemedelsterapi;

    Abstract : The cost of releasing a new drug on the market has increased rapidly in the last decade. The reasons for this increase vary with the drug, but the need to make correct decisions earlier in the drug development process and to maximize the information gained throughout the process is evident. READ MORE

  6. 4. Mixed Effects Modeling of Deterministic and Stochastic Dynamical Systems - Methods and Applications in Drug Development

    Author : Jacob Leander; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; pharmacometrics; pharmacokinetics; mixed effects; drug development; pharmacodynamics; parameter estimation; time-to-event; mathematical modeling; dynamical systems;

    Abstract : Mathematical models based on ordinary differential equations (ODEs) are commonly used for describing the evolution of a system over time. In drug development, pharmacokinetic (PK) and pharmacodynamic (PD) models are used to characterize the exposure and effect of drugs. READ MORE

  7. 5. Development and Evaluation of Nonparametric Mixed Effects Models

    Author : Paul Baverel; Mats Karlsson; Radojka Savic; Nils Hoem; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; nonparametric; model; pharmacometrics; pharmacokinetics; pharmacodynamic; imprecision; covariate analysis; parameter distribution; Statistics; computer and systems science; Statistik; data- och systemvetenskap; Pharmaceutical pharmacology; Farmaceutisk farmakologi; Biopharmaceutics; Biofarmaci; Clinical Pharmacology; Klinisk farmakologi; Computer Systems; Datorteknik; Farmakologi; Pharmacology; Statistics; Statistik;

    Abstract : A nonparametric population approach is now accessible to a more comprehensive network of modelers given its recent implementation into the popular NONMEM application, previously limited in scope by standard parametric approaches for the analysis of pharmacokinetic and pharmacodynamic data. The aim of this thesis was to assess the relative merits and downsides of nonparametric models in a nonlinear mixed effects framework in comparison with a set of parametric models developed in NONMEM based on real datasets and when applied to simple experimental settings, and to develop new diagnostic tools adapted to nonparametric models. READ MORE