Statistical Concordance

As a supplement to the index, we provide a list of statistical concepts and procedures and the chapters in which they are covered.

Method	Chapter
Analysis of variance	8  High-Throughput Count Data & Generalized Linear Models
Bayesian statistics	2  Statistical Modeling
Bootstrap	4  Mixture Models, 5  Clustering
Chi-square test	2  Statistical Modeling
Clustering	4  Mixture Models, 5  Clustering
Correspondence Analysis	9  Multivariate methods for heterogeneous data
Data Transformations	4  Mixture Models, 8  High-Throughput Count Data & Generalized Linear Models
Diffusion Map models	9  Multivariate methods for heterogeneous data
Distances	4  Mixture Models, 9  Multivariate methods for heterogeneous data
Exploratory Data Analysis (EDA)	3  Data visualization
Fisher’s Exact test	10  Networks and Trees
False Discovery Rate (FDR)	6  Testing
Goodness of fit	2  Statistical Modeling
Generalized Linear Models	8  High-Throughput Count Data & Generalized Linear Models
Hypergeometric Test	10  Networks and Trees
Hypothesis Testing	1  Generative Models for Discrete Data, 6  Testing
Markov Chains	2  Statistical Modeling, 10  Networks and Trees
Maximum Likelihood	2  Statistical Modeling
Multidimensional Scaling (MDS)	9  Multivariate methods for heterogeneous data
Multiple hypothesis testing	6  Testing
Multivariate Regression	8  High-Throughput Count Data & Generalized Linear Models, 9  Multivariate methods for heterogeneous data, 12  Supervised Learning
Ordination and gradient detection	9  Multivariate methods for heterogeneous data
P-value	1  Generative Models for Discrete Data
Permutation tests	10  Networks and Trees
Phylogenetics	10  Networks and Trees
Power calculations	13  Design of High Throughput Experiments and their Analyses
Principal Components (PCA)	7  Multivariate Analysis
Principal Coordinates Analysis (PCoA)	9  Multivariate methods for heterogeneous data
Regression	7  Multivariate Analysis,
Robust methods	12  Supervised Learning
Spatial statistics	11  Image data

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