Applications of the Bootstrap, CART and Permutation Methods 

Write courses@statisticsonline.info for dates of our next offering. 

Aim of the Course: This 3-week course will introduce you to the resampling methods--the bootstrap, CART, and the permutation test and then show you how to apply them in your work with practical examples from the medical device and pharmaceutical industries including how to obtain estimates of required sample size from empirical distributions and the analysis of contingency tables and cross-over designs.

Who Should Take This Course: Anyone who wants to make more effective use of  statistics in their work in the pharmaceutical and medical device industries.  An existing undergraduate background in estimation and testing hypotheses is essential.

Instructor: Dr. Phillip Good, former Calloway Professor of Computer Science at the University of Georgia (Fort Valley) and graduate of the program in mathematical statistics at UC Berkeley, is the author of Manager's Guide to Design and Conduct of Clinical Trials (Wiley, 2^nd ed 2006), Resampling Methods (Birkhauser, 3rd ed, 2005), Introduction to Statistics via Resampling Methods and Excel (Wiley, 2005), Common Errors in Statistics (and How to Avoid Them) (Wiley, 2003, 2006 with James Hardin), Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer, 3rd ed, 2004), , and Applying Statistics in the Courtroom (CRC, 2001). He has given tutorials at the Joint Statistical Meetings (U.S.) and Deming Conference, lectured in Australia, Belgium, France, Holland, Ireland, and Spain, and was twice a traveling lecturer for the American Statistical Association. This is his fifth (5th) year of providing on-line interactive courses.

Prerequisite: You should have familiarity with basic statistical concepts.  If not, we highly recommend Introduction to Statistics via Resampling Methods and R/S-Plus (Wiley, 2005).   Prior use of R, S-Plus or Stata is helpful.  Regretfully, few of these routines are available in SAS at this time.

Organization of the Course: The course takes place over the Internet.  During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given an alias and access to a private bulletin board that serves as a forum for discussion of ideas, problem solving, and interaction with the instructor. The course is scheduled to take place over three weeks, and should require about 10 hours per week. At the beginning of each week, participants receive the relevant material, in addition to answers to exercises from the previous session. During the week, participants are expected to go over the course materials and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.

Course Requirements: The optional text is Resampling Methods (Birkhauser, 3rd ed, 2005) by Dr. Good. The previous link allows you to order the text directly from Birkhauser. Birkhauser typically offers a 15% discount to statisticsonline.info customers during checkout time. PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE. During the course, we will download from cytel.com and make use of a trial copy of StatXact for analyzing contingency tables.

Course Program: The course is structured as follows

SESSION 1: The Bootstrap

• Precision of an Estimate

  • Using the Bootstrap

• Interval Estimates 

  • Improved Bootstrap Estimates

• Estimating Bias

• Power and Sample Size Estimates

SESSION 2:  Permutation Tests

• Comparing Means

• Cross-Over Designs

• One-Way Analysis: ANOVA or Permutations

• Contingency Tables

SESSION 3: Applying the Concepts

• When to Use Parametric Procedures

• Multivariate Procedures

• Pesarin's Combination Method

• Behrens-Fisher Problem

• Model Validation

Cost: The cost of this three-week interactive on-line course is only $324.  If you register before July 5th, you need pay only $274.  Students, faculty and research workers at academic institutions are eligible for a further discount. Just send an email from your academic email account to courses@statisticsonline.info to receive a discount coupon worth $50 toward the cost of the course.

Immediately after your payment is credited, you will receive an email giving you a password, sign up instructions, and the web address (URL) of the course material.  Note that you will not be able to access this address until the start date of the course.