Sökning: "mixed effects"

Visar resultat 21 - 25 av 750 avhandlingar innehållade orden mixed effects.

  1. 21. Methodology for Handling Missing Data in Nonlinear Mixed Effects Modelling

    Författare :Åsa M. Johansson; Mats O. Karlsson; Andrew C. Hooker; Leon Aarons; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; population models; censored observations; missing covariates; missing dependent variable; missing data mechanism; missing completely at random MCAR ; missing at random MAR ; missing not at random MNAR ; estimation algorithms; Pharmaceutical Science; Farmaceutisk vetenskap;

    Sammanfattning : To obtain a better understanding of the pharmacokinetic and/or pharmacodynamic characteristics of an investigated treatment, clinical data is often analysed with nonlinear mixed effects modelling. The developed models can be used to design future clinical trials or to guide individualised drug treatment. LÄS MER

  3. 22. 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

  4. 23. LRIG1 in lung cancer : prognostic effects and mechanistic studies

    Författare :Samuel Kvarnbrink; Mikael Johansson; Håkan Hedman; Odd Terje Brustugun; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; lung cancer; metastasis; prognosis; LRIG1; LRIG3; LMO7; LIMCH1; Oncology; onkologi;

    Sammanfattning : Lung cancer is the leading cause of cancer-related death worldwide as well as in Sweden. Non-small cell lung cancer (NSCLC) is the predominant form, which is largely subdivided into adenocarcinomas and squamous cell carcinomas. LÄS MER

  5. 24. Prospective and longitudinal human studies of lead and cadmium exposure and the kidney

    Författare :Johan Nilsson Sommar; Ingvar A Bergdahl; Max Petzold; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Cadmium; end-stage renal disease; kidney; lead; longitudinal; matched case-control; mixed effects; prospective; Occupational and Environmental Medicine; arbets- och miljömedicin;

    Sammanfattning : Cadmium and lead accumulate in humans and can have toxic effects. Exposure to cadmium is well known to cause kidney damage. Cadmium binds to metallothioneins, proteins that play a role in cadmium transport. LÄS MER

  7. 25. Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation

    Författare :Samuel Wiqvist; Matematisk statistik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian statistics; computational statistics; deep learning; mixed­-effects; sequential Monte Carlo; stochastic dif­ferential equations;

    Sammanfattning : This doctoral thesis in computational statistics utilizes both Monte Carlo methods(approximate Bayesian computation and sequential Monte Carlo) and machine­-learning methods (deep learning and normalizing flows) to develop novel algorithms for infer­ence in implicit Bayesian models. Implicit models are those for which calculating the likelihood function is very challenging (and often impossible), but model simulation is feasible. LÄS MER