Sökning: "dose-finding"

Visar resultat 1 - 5 av 13 avhandlingar innehållade ordet dose-finding.

  1. 1. Optimal design for dose-finding studies

    Författare :Renata Eirini Tsirpitzi; Frank Miller; Kirsten Schorning; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; bivariate model; distortion; drug combination; Elfving set; Emax model; Fedorov algorithm; mixed effects models; optimal experimental design; Statistics; statistik;

    Sammanfattning : One of the most complex tasks during the clinical development of a new drug is to find a correct dose. Optimal experimental design has as a goal to find the best ways to perform an experiment considering the available resources and the statistical model. Optimal designs have already been used to determine the design of dose-finding studies. LÄS MER

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

    Författare :Matts Kågedal; Mats Karlsson; Andrew C Hooker; Gitte Knudsen; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; PET; positron emission tomography; receptor occupancy; nonlinear mixed effects; NONMEM; optimal design; dose finding; Pharmacokinetics and Drug Therapy; Farmakokinetik och läkemedelsterapi;

    Sammanfattning : 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. LÄS MER

  4. 3. Model-Based Optimization of Clinical Trial Designs

    Författare :Camille Vong; Mats O. Karlsson; Andrew C. Hooker; Lena E. Friberg; Marylore Chenel; Oliver Sander; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; nonlinear mixed-effects models; pharmacometrics; likelihood ratio test; NONMEM; power; sample size; study design; proof-of-concept; dose-finding; population optimal design; LOQ; BQL data; neutropenia; docetaxel; myelosuppression; thrombocytopenia; MTD; Bayesian methods; 3 3 algorithm; dose escalation study; Pharmaceutical Science; Farmaceutisk vetenskap;

    Sammanfattning : General attrition rates in drug development pipeline have been recognized as a necessity to shift gears towards new methodologies that allow earlier and correct decisions, and the optimal use of all information accrued throughout the process. The quantitative science of pharmacometrics using pharmacokinetic-pharmacodynamic models was identified as one of the strategies core to this renaissance. LÄS MER

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

    Författare :Joakim Nyberg; Andrew C. Hooker; Mats O. Karlsson; Sergei Leonov; Uppsala universitet; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  7. 5. Study Design and Dose Regimen Evaluation of Antibiotics based on Pharmacokinetic and Pharmacodynamic Modelling

    Författare :Anders Kristoffersson; Lena Friberg; Mats Karlsson; Pernilla Lagerbäck; Otto Cars; Stephan Schmidt; Uppsala universitet; []
    Nyckelord :pharmacometric; optimal design; pharmacokinetics; pharmacodynamics; PKPD; resistance; antibiotics; modeling; time-kill curve; colistin; meropenem; ciprofloxacin; non-linear mixed effects models; bayesian; Farmaceutisk vetenskap; Pharmaceutical Science;

    Sammanfattning : Current excessive use and abuse of antibiotics has resulted in increasing bacterial resistance to common treatment options which is threatening to deprive us of a pillar of modern medicine. In this work methods to optimize the use of existing antibiotics and to help development of new antibiotics were developed and applied. LÄS MER