Sökning: "nonlinear mixed-effects models"

Visar resultat 11 - 15 av 27 avhandlingar innehållade orden nonlinear mixed-effects models.

  1. 11. Methods for handling model misspecification in pharmacometric model-based approaches for the analysis of longitudinal clinical trial data

    Författare :Estelle Chasseloup; Mats Karlsson; Andrew Hooker; Karl Brendel; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; nonlinear mixed-effects models; misspecification; type I error; power; accuracy; placebo; individual model averaging; IMA; likelihood ratio test; LRT; model averaging; covariate selection; mixture models; visual predictive checks; VPC; avatars; digital twins; virtual individual; Farmaceutisk vetenskap; Pharmaceutical Science;

    Sammanfattning : Pharmacometrics model-based analyses proved to be increasingly useful in drug discovery and development. This usefulness was made evident by the formalisation of the model-integrated drug discovery and development framework (MID3). LÄS MER

  2. 12. Benefits of Non-Linear Mixed Effect Modeling and Optimal Design : Pre-Clinical and Clinical Study Applications

    Författare :Charles Ernest II; Andrew Hooker; Mats Karlsson; Bart Ploeger; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; optimal design; nonlinear mixed effects models; population models; Pharmaceutical Science; Farmaceutisk vetenskap;

    Sammanfattning : Despite the growing promise of pharmaceutical research, inferior experimentation or interpretation of data can inhibit breakthrough molecules from finding their way out of research institutions and reaching patients. This thesis provides evidence that better characterization of pre-clinical and clinical data can be accomplished using non-linear mixed effect modeling (NLMEM) and more effective experiments can be conducted using optimal design (OD). LÄS MER

  3. 13. Longitudinal Models for Quantifying Disease and Therapeutic Response in Multiple Sclerosis

    Författare :Ana M. Novakovic; Mats O. Karlsson; Etienne Pigeolet; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; nonlinear mixed-effects models; pharmacometrics; NONMEM; multiple sclerosis; cladribine; EDSS; item response theory; relapse rate; absolute lymphocyte count; total volume T2 lesions; burden of disease; power; sample size; Pharmaceutical Science; Farmaceutisk vetenskap;

    Sammanfattning : Treatment of patients with multiple sclerosis (MS) and development of new therapies have been challenging due to the disease complexity and slow progression, and the limited sensitivity of available clinical outcomes. Modeling and simulation has become an increasingly important component in drug development and in post-marketing optimization of use of medication. LÄS MER

  4. 14. Pharmacometrics for Combination Therapy in Oncology Within and Across Species Variability in Time Series and Time-to-event Data

    Författare :Marcus Baaz; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Mathematical Modeling; Pharmacometrics; Nonlinear Mixed Effects; Oncology; Combination Therapy; Radiation Therapy;

    Sammanfattning : Mathematical modeling is an integral part of the drug development process. Models are developed to describe tumor dynamics or drug concentration to answer questions such as: What concentration is required to reach the desirable treatment outcome? What drug dose and frequency should a drug prescription specify to achieve this concentration? Models are also used for simulation, reducing the need to perform additional animal trials. LÄS MER

  5. 15. Modeling of combination therapy to support drug discovery in oncology

    Författare :Tim Cardilin; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Pharmacokinetics Pharmacodynamics; Oncology; Nonlinear Mixed-Effects Models; Model-Based Drug Development; Combination Therapy;

    Sammanfattning : Mathematical models based on ordinary differential equations, with impulses, are used to describe tumor growth after different treatment combinations, including chemicals as well as radiation. The models are calibrated, using a nonlinear mixed-effects framework, based on time series data of tumor volume from animal experiments. LÄS MER