1. Introductory Statistics
  2. Descriptive Statistics
  3. Probability Theory
  4. Discrete Data Analysis
  5. Linear Regression Models
  6. Experimental Design
  7. Generalized Linear Models
  8. Non-parametric Tests
  9. Multivariate Analysis
  10. Bayesian Statistics
  11. Omics Data
  12. Structural Equation Modeling
  13. Longitudinal Data Analysis
  14. Data Mining and Machine Learning
  15. Sampling Theory and Methods
  16. Open Source Textbooks
  17. Miscellaneous Resources

Introductory Statistics


Descriptive Statistics

Numerical summaries, statistical graphics

SAS

R

SPSS


Probability Theory

Online Courses:

Books available online:


Discrete Data Analysis

Online Courses:


Linear Regression Models

Linear regression and correlation

Diagnostics and Transformations

Multiple linear regression

Statistical forecasting:

Online Courses:


Experimental Design

A field guild to experimental designs – including complete randomized design, randomized complete block design, factorial design, split plot design, etc.

ANOVA & ANCOVA

Repeated Measures

Sample size determination

Teaching materials

Online Courses

Resources on Causal Inference

Books available online:


Generalized Linear Models (GLMs)

Generalized Linear Model

Linear Mixed model

Logistic Regression

Count Regression


Non-parametric Tests

Non-Parametric Alternatives to Parametric Tests

Type of Design Parametric Test Non-parametric Test
Two Independent Samples Independent-samples t-test Mann-Whitney U or Wilcoxon Rank Sums Test
Two Dependent Samples Dependent-samples t-test Wilcoxon T-test
Three or more Independent Samples Between-subjects ANOVA Kruskal-Wallis H Test
Three or more Dependent Samples Within-subjects ANOVA Friedman x2 Test

Mann-Whitney U (Wilcoxon-Rank Sums Test) and Kruskal-Wallis  (independent samples)

Background information and tutorial

Wilcoxen Signed-Rank Test and Friedman x2 Test (dependent samples)

Basic information and tutorials

Basic R code for basic Non-parametric Testing

Non-parametric regression

Generalized Additive Modeling (nonparametric analog to GLMs)

Online Courses


Multivariate Analysis

A guide to choose different statistical techniques of multivariate analysis

MANOVA

Principle Component Analysis

Factor Analysis

Online Courses


Bayesian Statistics


Omics Data


Structural Equation Modeling


Longitudinal Data Analysis


Data Mining and Machine Learning

Online Courses


Sampling Theory and Methods

Online Courses


Open Source Textbooks


Miscellaneous Resources