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Preface. Chapter 1 Introduction. Chapter 2 Basic logarithm for a better understanding of statistical methods. Chapter 3 Missing data imputation. Chapter 4 Assessing manipulated data. Chapter 5 Propensity scores and propensity score matching for assessing multiple confounders. Chapter 6 Markov modeling for predicting outside the range of observations. Chapter 7 Uncertainty in the evaluation of diagnostic tests. Chapter 8 Robust tests for imperfect data. Chapter 9 Non-linear modeling on a pocket calculator. Chapter 10 Fuzzy modeling for imprecise and incomplete data. Chapter 11 Goodness of fit tests for normal and cumulatively normal data. Chapter 12 Bhattacharya modeling for unmasking hidden Gaussian curves. Chapter 13 Item response modeling instead of classical linear analysis of questionnaires. Chapter 14 Superiority testing instead of null hypothesis testing. Chapter 15 Variability analysis with the Bartlett's test. Chapter 16: Binary partitioning for CART (classification and regression tree) methods. Chapter 17 Meta-analysis of continuous data. Chapter 18 Meta-analysis of binary data. Chapter 19 Physicians' daily life and the scientific method. Chapter 20 Incident analysis and the scientific method. Final remarks. Index.
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