Search for dissertations about: "nonlinear mixed effects models"

Showing result 1 - 5 of 21 swedish dissertations containing the words nonlinear mixed effects models.

  1. 1. Contributions to nonlinear mixed-effects modeling

    University dissertation from Göteborg : Chalmers University of Technology

    Author : Jacob Leander; Göteborgs universitet.; Gothenburg University.; [2014]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; nonlinear mixed-effects models; stochastic differential equations; parameter estimation; extended Kalman filter; sensitivity 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

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

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Joakim Nyberg; Uppsala universitet.; [2011]
    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

  3. 3. Covariate Model Building in Nonlinear Mixed Effects Models

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Jakob Ribbing; Uppsala universitet.; [2007]
    Keywords : Pharmacokinetics Pharmacotherapy; Pharmacokinetics; Pharmacodynamics; Modeling; Covariate selection; Stepwise selection; Covariate analysis; Methodology; Model validation; Model evaluation; Type-2 diabetes; Beta-cell function; Meta analysis; Cross-validation; Least absolute shrinkage and selection operator; Pharmacometrics; ED optimization; Farmakokinetik Farmakoterapi;

    Abstract : Population pharmacokinetic-pharmacodynamic (PK-PD) models can be fitted using nonlinear mixed effects modelling (NONMEM). This is an efficient way of learning about drugs and diseases from data collected in clinical trials. READ MORE

  4. 4. Statistical modeling and design in forestry The case of single tree models

    University dissertation from Umeå : Statistik

    Author : Leakemariam Berhe; Umeå universitet.; [2008]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Forest data; Covariance structures; Nonlinear mixed effects models; Tree taper models; Ds-optimal design; Replication-free design.; SOCIAL SCIENCES Statistics; computer and systems science Statistics; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Statistik;

    Abstract : Forest quantification methods have evolved from a simple graphical approach to complex regression models with stochastic structural components. Currently, mixed effects models methodology is receiving attention in the forestry literature. READ MORE

  5. 5. Nonlinear Mixed Effects Methods for Improved Estimation of Receptor Occupancy in PET Studies

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Matts Kågedal; Uppsala universitet.; [2014]
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; PET; positron emission tomography; receptor occupancy; nonlinear mixed effects; NONMEM; optimal design; dose finding; Pharmacokinetics and Drug Therapy; Farmakokinetik och läkemedelsterapi;

    Abstract : Receptor occupancy assessed by Positron Emission Tomography (PET) can provide important translational information to help bridge information from one drug to another or from animal to man. The aim of this thesis was to develop nonlinear mixed effects methods for estimation of the relationship between drug exposure and receptor occupancy for the two mGluR5 antagonists AZD9272 and AZD2066 and for the 5HT1B receptor antagonist AZD3783. READ MORE