Sökning: "categorical data analysis"

Visar resultat 1 - 5 av 30 avhandlingar innehållade orden categorical data analysis.

  1. 1. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data

    Författare :Sara Johansson Fernstad; Mikael Jern; Jimmy Johansson; Jane Shaw; Matthew O. Ward; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Information visualization; data mining; high dimensional data; categorical data; mixed data;

    Sammanfattning : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. LÄS MER

  3. 2. Models for Ordered Categorical Pharmacodynamic Data

    Författare :Per-Henrik Zingmark; Mats O Karlsson; E. Niclas Jonsson; France Mentré; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacokinetics Pharmacotherapy; Pharmacodynamic; Modelling; Categorical data; NONMEM; Proportional odds model; Markov model; Differential drug effect model; Farmakokinetik Farmakoterapi; PHARMACY; FARMACI;

    Sammanfattning : In drug development clinical trials are designed to investigate whether a new treatment is safe and has the desired effect on the disease in the target patient population. Categorical endpoints, for example different ranking scales or grading of adverse events, are commonly used to measure effects in the trials. LÄS MER

  4. 3. Statistical analysis of gene expression data

    Författare :Erik Kristiansson; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; gene expression; DNA microarrays; linear models; empirical Bayes; quality control; gene regulation; categorical data analysis; logistic regression; heavy metal stress; ecotoxicology; gene expression;

    Sammanfattning : Microarray technology has become one of the most important tools for genome-wide mRNA measurements. The technique has been successfully applied to many areas in modern biology including cancer research, identification of drug targets, and categorization of genes involved in the cell cycle. LÄS MER

  5. 4. Non-parametric methods for functional data

    Författare :Johan Strandberg; Sara Sjöstedt de Luna; Konrad Abramowicz; Lina Schelin; Charlotte Häger; Pedro Delicado; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; functional data analysis; testing; clustering; prediction; inference; bagging Voronoi strategy; kriging; dependency; matematisk statistik; Mathematical Statistics;

    Sammanfattning : In this thesis we develop and study non-parametric methods within three major areas of functional data analysis: testing, clustering and prediction. The thesis consists of an introduction to the field, a presentation and discussion of the three areas, and six papers. LÄS MER

  7. 5. Methodological Studies on Models and Methods for Mixed-Effects Categorical Data Analysis

    Författare :Maria C. Kjellsson; Mats O. Karlsson; Siv Jönsson; Gordon Graham; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacodynamics; Categorical data; Markov model; Modelling; NONMEM; NLMIXED; Laplace; Gaussian quadrature; Back-Step Method; Proportional odds model; Differential odds model;

    Sammanfattning : Effects of drugs are in clinical trials often measured on categorical scales. These measurements are increasingly being analyzed using mixed-effects logistic regression. However, the experience with such analyzes is limited and only a few models are used. LÄS MER