Advanced Data Analysis - Lecture Notes
Lecture notes for Advanced Data Analysis (ADA1 Stat 427/527 and ADA2 Stat 428/528), Department of Mathematics and Statistics, University of New Mexico, Fall 2016-Spring 2017. Additional material including RMarkdown templates for in-class and homework exercises, datasets, R code, and video lectures are available on the course websites: https://statacumen.com/teaching/ada1 and https://statacumen.com/teaching/ada2 .
Contents
- 0 Introduction to R, Rstudio, and ggplot
- 1 Summarizing and Displaying Data
- 2 Estimation in One-Sample Problems
- 3 Two-Sample Inferences
- 4 Checking Assumptions
- 5 One-Way Analysis of Variance
- 6 Nonparametric Methods
- 7 Categorical Data Analysis
- 8 Correlation and Regression
- IV ADA1: Additional topics
- 9 Introduction to the Bootstrap
- 10 Power and Sample size
- 11 Data Cleaning
- 1 R statistical software and review
- 2 Introduction to Multiple Linear Regression
- 3 A Taste of Model Selection for Multiple Regression
- 4 One Factor Designs and Extensions
- 5 Paired Experiments and Randomized Block Experiments
- 6 A Short Discussion of Observational Studies
- 7 Analysis of Covariance: Comparing Regression Lines
- 8 Polynomial Regression
- 9 Discussion of Response Models with Factors and Predictors
- 10 Automated Model Selection for Multiple Regression
- 11 Logistic Regression
