Statistics 512

Statistical Methods

for Research 2

 

Winter 2003

 

 

Scott D Grimshaw

Associate Professor, Statistics Department

210 TMCB

801-422-6251

grimshaw@byu.edu

 

Office Hours: MWF 1-1:50 pm or by appt.

 

Course Lectures: MWF 11-11:50 am in 254 TMCB

Course Lab: MWF 12-12:50 pm in 203 TMCB

 

TA: Dahai Lin, 225 TMCB, Office Hours: TTh 1-1:50

 

Announcements

 

 

Objectives

Course Catalog Description:

Advanced statistical methodologies. Topics include repeated measures models, basic multivariate techniques, logistic regression, log-linear models.

 

Prerequisites:

STAT 511

 

Course Objective:

  • To reinforce the ideas discussed in Stat 511:
  • Statistical inference and study design, assumptions of various statistical tools, robustness to assumptions, transformations, and interpretation, t-tools, pooled estimates of the standard deviation, extra sums-of-squares F-test, ANOVA, contrasts, multiplicity, regression, estimation vs. prediction, multiple regression, higher-order-power terms, product terms, sets of indicator variables for categorical explanatory variables, outlier and influence diagnostics, strategies for variable selection.
  • To extend these ideas and discuss methods for dealing with serially correlated data, categorical and count response variables, and multiple correlated response variables.
  • To continue to differentiate between experimental and observational data: to emphasize the inferential limitations of the types of data; to motivate you to design your studies in such a way as to collect the best data you can to answer specific questions. 
  • To motivate the topics using interesting case studies.
  • To increase your familiarity with the language, general tools, and spirit of statistical methods so that communication with a professional statistician will be more beneficial and effective.
  • To improve your ability to critically evaluate work within your own field with regards to the use of statistics.

 

Course Materials

Textbook: The Statistical Sleuth: A Course in Methods of Data Analysis, 2d ed, by Ramsey and Shafer

 

Grading

30% Homework

35% Midterm Exam

35% Final Exam

 

Tentative Outline of Material and Reading Assignments

6 Jan – 24 Jan          Review Multiple Linear Regression (Chapters 10, 11)

26 Jan – 21 Feb        Binary Response Variables (Chapters 18, 19, 20, 21)

24 Feb – 28 Feb       Count Response Variables (Chapter 22)

 

MIDTERM EXAM

5 March In Class Portion

5-7 March Out of Class Portion

Data Sets: spam ships

 

3 Mar – 14 Mar         Experimental Design (Chapters 5, 23, 24, 13, 14)

17 Mar – 21 Mar       Time Series (Chapter 15)

24 Mar – 14 Apr        Multivariate Analysis (Chapters 16, 17)

 

FINAL EXAM

21 April 11-2

Data Sets: growth helmet

 

 

Homework Assignments

Homework 1 Due 24 Jan 2003 (SAS Help)

Homework 2 Due 31 Jan 2003

Homework 3 Due 7 Feb 2003

Homework 4 Due 14 Feb 2003

Homework 5 Due 21 Feb 2003 (SAS Help for Chapter 20 #18)

Homework 6 Due 28 Feb 2003

Homework 7 Due 14 Mar 2003

Homework 8 Due 31 Mar 2003 (SAS Help for Chapter 16 #14)

Homework 9 Due 15 Apr 2003

 

SAS Examples

Chapter 19 proc freq examples

Chapter 20 logistic regression using proc genmod example

Chapter 21 logistic regression for binomial counts using proc genmod example

Chapter 22 log-linear regression for Poisson counts using proc genmod example

Chapter 6 contrasts and cell means model using Andrew’s Science Fair example (output)

Chapter 16 MANOVA using proc glm

Chapter 16 Repeated Measures using proc glm

Discriminant Analysis on Fisher’s Iris data

Cluster analysis using Nation Birth/Death Rates

Principal Component Analysis using proc factor

 

Preventing Sexual Harassment

Title IX of the Education Amendments of 1972 prohibits sex discrimination against any participant in an educational program or activity that receives federal funds. The act is intended to eliminate sex discrimination in education. Title IX covers discrimination in programs, admission, activities, and student-to-student sexual harassment. BYU’s policy against sexual harassment extends not only to employees of the university but to students. If you encounter unlawful sexual harassment or gender based discrimination, please talk to your professor; contact the campus EEO office at 422-5895; or contact the Honor Code Office (422-2847).

 

In Case of Emergency

Please follow instructor’s instructions:

  • If there is an evacuation alarm exit the classroom in an orderly fashion and exit the Talmage Building and gather in the west parking lot.
  • After all students have evacuated the building you should then report to your BYU ward assembly area. (If you do not know where this is, contact your Bishop.)

 

Students with Disabilities

Please let me know if you have any disability that could potentially affect your success in the course. I am highly confident that arrangements or modifications can be made. The BYU Services for Students with Disabilities Office (422-2767) is available to coordinate such matters.

 

Complaints

I have done my best to design a course that will accomplish course objectives while recognizing the workload of a three credit hour class. If you have any concerns regarding any aspect of this course (content, workload, evaluation, etc), please come and discuss these matters with me. If we cannot come to a mutually agreeable solution, I will direct you to my superiors.