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Randomization Tests

The number of innovative applications of randomization tests in various fields and recent developments in experimental design, significance;

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Randomization Tests

The number of innovative applications of randomization tests in various fields and recent developments in experimental design, significance;

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Randomization In Clinical Trials 2E

Featuring a unique combination of the applied aspects of randomization in clinical trials with a nonparametric approach to inference, Randomization;

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Single-Case and Small-n Experimental Designs

This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and;

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The Theory of Response-Adaptive Randomization in Clinical Trials

Presents a firm mathematical basis for the use of response-adaptive randomization procedures in practice The Theory of Response-Adaptive;

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Mechanical Reliability Improvement

randomization-based statistical analyses for comparison of the test performance of alternative designs, as well as simulation- and randomization-based;

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Single-Case And Small-N Experimental Designs

rank tests provide, at best, approximate solutions for only some single-case (and small-n ) designs. Randomization (Exact) tests, on the other;

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Randomization, Masking, and Allocation Concealment

Randomization, Masking, and Allocation Concealment is indispensable for any trial researcher who wants to use state of the art;

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Randomization, Masking, and Allocation Concealment

Randomization, Masking, and Allocation Concealment is indispensable for any trial researcher who wants to use state of the art;

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Mendelian Randomization

Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical;

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Mendelian Randomization

Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical;

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Modern Adaptive Randomized Clinical Trials

Is adaptive randomization always better than traditional fixed-schedule randomization? Which procedures should be used and under which;

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Methods of Randomization in Experimental Design

This book provides a conceptual systematization and a practical tool for the randomization of between-subjects and within-subjects;

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Comparing Groups

applying newly derived data analytic techniques. Comparing Groups: Randomization and Bootstrap Methods Using R emphasizes the direct link between;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number;

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Applied Sequential Methodologies

simulation, finance, clinical trials, sonar signal detection, randomization, multiple comparisons, psychology, tracking, surveillance, and numerous;

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Statistics

., but only after students have developed a strong intuitive understanding of inference through randomization methods. The text is designed for;

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Likelihood

theory of statistical inference in science. Using the likelihood approach, he explores estimation, tests of significance, randomization;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

The fourth edition of the book illustrates a large number of statistical methods with an emphasis on;...

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Sense and Nonsense of Statistical Inference: Controversy

sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and;

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Sense and Nonsense of Statistical Inference

sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and;

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Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques

Optimization Problems, APPROX 2011, and the 15th International Workshop on Randomization and Computation, RANDOM 2011, held in Princeton, New Jersey;

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Approximation Randomization and Combinatorial Optimization Algorithms and Te

Problems (APPROX 2010) and the 14th International Workshop on Randomization and Computation (RANDOM 2010), which took place concurrently;

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Operators and Iterative Processes of Fejér Type

from functional analysis, with a special focus on the construction of iterative schemes. Applications to parallelization, randomization and;

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Statistical Techniques in Clinical Research

determination, randomization etc have been covered in detail. Though details of the various tests have not been included but special emphasis has been;

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Computational Methods in Biomedical Research

of randomization tests, mixed-effects models, and the classification rules for repeated measures data. The volume concludes with estimation methods for;

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