Titlebook: Lectures on Categorical Data Analysis; Tamás‘ Rudas Textbook 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Assoc

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Tamás Rudasation advice from the experts.Includes supplementary materia.Infectious diseases caused by viruses, parasites, bacteria, and fungi are the number one cause of death worldwide. Although new technologies have improved diagnosis of infectious diseases, the efficacy of all known current anti-infective a

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roved diagnosis of infectious diseases, the efficacy of all known current anti-infective agents is threatened by the spread of drug-resistant forms of the pathogens. Hence, there remains an urgent need to develop anti-infective agents that target drug-resistant pathogens.. In Silico Models for Drug

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Sampling Distributions,al model that characterizes the population. The sampling distribution is said to be multinomial if the number of observations is fixed in advance (binomial if there are only two categories), product multinomial if certain subsamples have pre-specified sizes, and Poisson if not the sample size rather

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Normal Approximations,ributions. The theoretical framework for such approximations is convergence in distribution. It is implied by the central limit theorem that when the sample size goes to infinity, appropriately normed binomial and multinomial distributions converge to the normal distribution. If, however, in the cas

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Basic Testing for Categorical Data,concepts of tests of hypotheses. Exact, randomized, and asymptotic tests are considered. The Pearson chi-squared and likelihood ratio statistics are introduced for tests of fit. The concept of independence, which will play a central role in later chapters of the book, is also introduced for the simp

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Association,including its maximum likelihood estimation. Because of its variation independence from the marginal distributions, it is argued the odds ratio is the most useful measure of association. The structure of . × . tables, as described by the systems of local or spanning cell odds ratios, which are gener

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Latent Classes and Exponential Families,the observed variables. The EM algorithm is often used to find MLEs under the latent class model, and a detailed proof of the convergence of the EM algorithm is given. As more general theoretical framework, exponential families of probability distributions are introduced and some of their basic prop