Search for dissertations about: "Confirmatory"

Showing result 1 - 5 of 111 swedish dissertations containing the word Confirmatory.

  2. 1. Some Aspects on Confirmatory Factor Analysis of Ordinal Variables and Generating Non-normal Data

    Author : Hao Luo; Fan Yang-Wallentin; Johan Lyhagen; Karl Jöreskog; Marie Wiberg; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; confirmatory factor analysis; ordinal variables; maximum likelihood; weighted least squares; polychoric correlation; non-normal data; Fleishman s method; Monte Carlo simulation; Statistics; Statistik; Statistics; Statistik;

    Abstract : This thesis, which consists of five papers, is concerned with various aspects of confirmatory factor analysis (CFA) of ordinal variables and the generation of non-normal data. The first paper studies the performances of different estimation methods used in CFA when ordinal data are encountered. READ MORE

  4. 2. Improved Methods for Pharmacometric Model-Based Decision-Making in Clinical Drug Development

    Author : Anne-Gaëlle Dosne; Mats O. Karlsson; Rik Schoemaker; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; nonlinear mixed-effects models; confirmatory trials; residual error modeling; parameter uncertainty; sampling importance resampling; model-averaging; Farmaceutisk vetenskap; Pharmaceutical Science;

    Abstract : Pharmacometric model-based analysis using nonlinear mixed-effects models (NLMEM) has to date mainly been applied to learning activities in drug development. However, such analyses can also serve as the primary analysis in confirmatory studies, which is expected to bring higher power than traditional analysis methods, among other advantages. READ MORE

  5. 3. Measuring health literacy : Evaluating psychometric properties of the HLS-EU-Q47 and the FCCHL, suggesting instrument refinements and exploring health literacy in people with type 2 diabetes and in the general Norwegian population

    Author : Hanne Søberg Finbråten; Bodil Wilde-Larsson; Gun Nordström; Kjell Sverre Pettersen; Anne Trollvik; Øystein Guttersrud; Unn-Britt Johansson; Karlstads universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; confirmatory factor analysis; FCCHL; health literacy; health-promotion nursing; HLS-EU-Q47; HLS-N-Q12; measurement; Norwegian population; psychometric evaluation; Rasch modelling; type 2 diabetes; validation; FCCHL; health literacy; helsefremmende sykepleie; HLS-EU-Q47; HLS-N-Q12; konfirmatorisk faktor analyse; måling; norsk befolkning; personer med diabetes type 2; psykometrisk evaluering; Rasch modellering; validering; Nursing Science; Omvårdnad;

    Abstract : Aim: The overall aim was to measure health literacy (HL) in people with type 2 diabetes (T2DM) and in the general Norwegian population.Methods: Sampling 388 people with T2DM (papers I, II and IV) and 900 individuals (III) in the general Norwegian population a cross-sectional design was applied. READ MORE

  6. 4. A covariance structure analysis approach to the errors-in-variables estimation problem

    Author : David Kreiberg; Fan Yang-Wallentin; Håkan Hjalmarsson; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; System identification; errors-in-variables models; structural equation modeling; confirmatory factor analysis; minimum distance estimator; separable nonlinear least squares; Statistics; Statistik;

    Abstract : It is a well-known fact that standard regression techniques, when applied to errors-in-variables (EIV) models, lead to biased and inconsistent parameter estimation. The work presented in this thesis address the EIV estimation problem using covariance structure analysis (CSA). READ MORE

  7. 5. Towards a flexible statistical modelling by latent factors for evaluation of simulated responses to climate forcings

    Author : Ekaterina Fetisova; Gudrun Brattström; Anders Moberg; Rolf Sundberg; Johan Lindström; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Confirmatory Factor Analysis; Measurement Error models; Structural Equation models; Wald confidence interval; Fieller confidence set; Climate model simulations; Climate forcings; Climate proxy data; Detection and Attribution; Mathematical Statistics; matematisk statistik;

    Abstract : In this thesis, using the principles of confirmatory factor analysis (CFA) and the cause-effect concept associated with structural equation modelling (SEM), a new flexible statistical framework for evaluation of climate model simulations against observational data is suggested. The design of the framework also makes it possible to investigate the magnitude of the influence of different forcings on the temperature as well as to investigate a general causal latent structure of temperature data. READ MORE