Search for dissertations about: "ordered categorical data"
Showing result 1 - 5 of 8 swedish dissertations containing the words ordered categorical data.
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1. Models for Ordered Categorical Pharmacodynamic Data
Abstract : 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. READ MORE
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2. Pharmacometric Methods and Novel Models for Discrete Data
Abstract : Pharmacodynamic processes and disease progression are increasingly characterized with pharmacometric models. However, modelling options for discrete-type responses remain limited, although these response variables are commonly encountered clinical endpoints. Types of data defined as discrete data are generally ordinal, e.g. READ MORE
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3. Nonparametric tests for comparing two treatments by using ordinal data
Abstract : This thesis concerns four nonparametric tests for comparing two treatments in a randomized controlled clinical trial when the main response variable generates discrete or continuous ordinal data and measurements are made at baseline and follow-up. In the Wilcoxon-Mann-Whitney test (WMW) the baseline values are not taken into account at all, but in the other three tests both baseline and follow-up values are used. READ MORE
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4. Development and evaluation of a health education programme for elderly persons with age-related macular degeneration
Abstract : The overall aim of this thesis was to develop and evaluate a health education programme for elderly persons with age-related macular degeneration (AMD). I. READ MORE
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5. Pharmacometrics to improve clinical benefit assessment in oncology
Abstract : The high attrition rate in oncology drug development calls for new approaches that would increase the understanding of drugs’ efficacy and safety profiles. This thesis focuses on the development of pharmacometric models to characterize and quantify the relationships between drug exposure, circulating and imaging biomarkers, adverse effects, overall survival (OS), and patient-reported outcomes (PROs). READ MORE