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A Statistical Method for Association Analysis of Cell Type Compositions
Gene expression data are often collected from tissue samples that are composed of multiple cell types. Studies of cell type composition based on gene...
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Association for More Than Two Processes
Addressing the spatial association between three or more processes is a challenging problem. Here, similarly as in the previous chapters we focus our...
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Association measures for interval variables
Symbolic Data Analysis (SDA) is a relatively new field of statistics that extends conventional data analysis by taking into account intrinsic data...
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Correlation and Association
At the end of this chapter \(\ldots \)...
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Analysis of the Association in Two-Way Contingency Tables
First, basic statistics for treating the association in two-way contingency tables are discussed through information theory. Logarithms of odds, odds...
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Choice of Test Statistic
The choice of one test statistic rather than another affects the design sensitivity, as it affects the power and efficiency of a randomization test....
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Introduction
Chapter 1 provides an introduction to the structure of the book, which more or less follows the order of...
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Detecting test fraud using Bayes factors
According to Wollack and Schoenig (Cheating, in: Frey BB (ed) The SAGE encyclopedia of educational research, measurement, and evaluation, Sage,...
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One-Group t-Test for the Mean
This chapter explains how to use one of the most popular and most helpful statistical tests in advertising research: the one-group t-test for the...
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Analysis of the Association in Multiway Contingency Tables
In this chapter, first, loglinear models are reviewed by using three-way contingency tables. Second, the entropy correlation coefficient (ECC) for...
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Correlation and Association in R
At the end of this chapter \(\ldots \)...
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One-Group t-Test for the Mean
This chapter explains how to use one of the most popular and most helpful statistical tests in science research: the one-group t-test for the mean....
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Inference of Correlation and Regression
In Chap. 1 , Pearson’s correlation coefficient, as a means to describe a linear association between two...
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A Parametric Test Based on Maximum Likelihood
Assessing the significance of the correlation between the components of a bivariate random field is of great interest in the analysis of...
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A stationary bootstrap test about two mean vectors comparison with somewhat dense differences and fewer sample size than dimension
Two sample mean vectors comparison hypothesis testing problems often emerge in modern biostatistics. Many tests are proposed for detecting relatively...
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A Powerful Retrospective Multiple Variant Association Test for Quantitative Traits by Borrowing Strength from Complex Genotypic Correlations
High-throughput sequencing has often been used in pedigree-based studies to identify genetic risk factors associated with complex traits. The...
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A Straightforward Approach to Chi-Squared Analysis of Associations in Contingency Tables
In contrast to conventional wisdom that Pearson’s chi-squared at a contingency table is a criterion of statistical independence, rather than a...
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Two-Sample Tests
Chapter 4 describes connections, equivalencies, and relationships relating to two-sample tests of null...
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Introduction
An essential component of a basic introductory statistics course is describing classic methods for making inferences about a population of...
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Permutation Test of Regression Coefficients in Social Network Data Analysis
In social and behavioral sciences, researchers are interested in the relationships between individuals’ attributes and the formation of social...