Search for dissertations about: "randomization test"
Showing result 1 - 5 of 14 swedish dissertations containing the words randomization test.
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1. On Sequential Treatment Allocations in Clinical Trials
Abstract : This dissertation treats baseline-dependent sequential designs of two-treatment parallel-group clinical trials. The treatment assignments are chosen in order to minimize the variance, in a linear model, of the treatment effect. This is done for each new allocation using a generalized biased coin design, or a non-randomized minimization' method. READ MORE
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2. Essays on the Evaluation of Public Policies
Abstract : This thesis consists of four self-contained papers.Essay 1: This paper uses the synthetic control (SC) method to examine how the establishment of Nuclear Power Facilities (NPFs) in Japan in the 1970s and 1980s has affected local per capita income levels in the municipalities in which they were located (NPF municipalities). READ MORE
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3. New Constructions for Competitive and Minimal-Adaptive Group Testing
Abstract : Group testing (GT) was originally proposed during the World War II in an attempt to minimize the \emph{cost} and \emph{waiting time} in performing identical blood tests of the soldiers for a low-prevalence disease. Formally, the GT problem asks to find $d\ll n$ \emph{defective} elements out of $n$ elements by querying subsets (pools) for the presence of defectives. READ MORE
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4. On Confidence Intervals and Two-Sided Hypothesis Testing
Abstract : This thesis consists of a summary and six papers, dealing with confidence intervals and two-sided tests of point-null hypotheses.In Paper I, we study Bayesian point-null hypothesis tests based on credible sets. A decision-theoretic justification for tests based on central credible intervals is presented. READ MORE
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5. Causal Inference in Observational Studies and Experiments: Theory and Applications
Abstract : This thesis consists of six papers that study the design of observational studies and experiments.Paper I proposes strategies to consistently estimate the average treatment effect of the treated using information derived from a large number of pre-treatment measurements of the outcome. READ MORE