Advanced Data Analysis II

Stat 428/528  [ 3 ]  Advanced Data Analysis II
Description: A continuation of 427/527 that focuses on methods for analyzing multivariate data and categorical data. Topics include MANOVA, principal components, discriminant analysis, classification, factor analysis, analysis of contingency tables including log-linear models for multidimensional tables and logistic regression.
Prerequisite: Stat 427 (ADA1)
Semesters offered: Spring

Spring 2012

Lecture: Stat 428/528.001 (25445 or 25449), TR 14:00–15:15, Anthro 163 building 11 (old room: DSH 325)
Spring 2012 office hours: MSLC 312, Wed 2:00-2:50 PM and Fri 10:30-11:20 AM
email: “Erik B. Erhardt” <erike@stat.unm.edu>, please include “ADA2″ in subject line

Two cancelled classes: Thu 2/16, Thu 2/23

Lecture notes and homework

I recommend double-side printing only the upcoming chapter the day before class because future chapters are subject to edits.

Ch 01 notes are ready
ADA2_notes.pdf includes all chapters in one document, but later chapters are subject to revision.

Homework will be due 1 week (or 2 classes, whichever is longer) after we complete each chapter.

Ch 01 sas d1 d2 d3 – HW01 sol due 02/09 – SAS
Ch 02 sas d1 d2      – HW02 sol due 02/21 – Introduction to Multiple Linear Regression
Ch 03 sas d1           – HW03 dat sol due 03/01 – A Taste of Model Selection for Multiple Linear Regression
Ch 04 – HW04 sol due –/– – Experimental Design: One and Two Factor Designs
Ch 05 – HW05 sol d1           due –/– – Paired Experiments and Randomized Block Designs
Ch 06 – HW06 sol due –/– – Discussion of Observational Studies
Ch 07 – HW07 sol due –/– – Analysis of Covariance: Comparing Regression Lines
Ch 08 – HW08 sol due –/– – Polynomial Regression
Ch 09 – HW09 sol due –/– – Response Models with Factors and Predictors
Ch 10 – HW10 sol due –/– – Model Selection for Multiple Regression
Ch 11 – HW11 sol due –/– – Logistic Regression
Ch 12 – HW12 sol due –/– – An Introduction to Multivariate Methods
Ch 13 – HW13 sol due –/– – Principal Components Analysis (PCA)
Ch 14 – HW14 sol due –/– – Multivariate Analysis of Variance (MANOVA)
Ch 15 – HW15 sol due –/– – Discriminant Analysis
Ch 16 – HW16 sol due –/– – Classification
Ch 17 – HW17 sol due –/– – Cluster Analysis
Ch 18 – HW18 sol due 05/17 – Power Analysis (Sample Size Calculations)

Final on Chs XXX. Due: DATE at 2:00 PM (beginning of our last day of class).

Final grade is weighted this way: 0.75(proportion correct of HW points) + 0.25(proportion correct in final)

SAS

Where is SAS on UNM campus? Search for “SAS” at it.unm.edu/pods/software.html
SAS learning Module
The UCLA ATS is one of my favorite resources for annotated stat examples. Graphics
UNM IT quick SAS on unix help
MobaXterm for MS Windows

SAS for Windows and general links

• University of North Texas: Using SAS for Windows
• Michael Friendly: SAS Resources and here
• Indiana University: Getting Started with SAS for Windows
• UCLA’s SAS Class Notes
• Introduction to SAS by Phil Spector (UNIX)
• UCLA’s SAS documentation, with useful SAS links

Citing lecture notes, example: Bedrick EJ, Schrader RM, and Erhardt EB. (2012) Lecture notes for Advanced Data Analysis 2. Retrieved Mar 1, 2012, from statacumen.com/teach/ADA2/ADA2_notes.pdf, 136–144.