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Power and Sample Size Determination


Dates:  Begins July 10th 2015

Aim of the Course: This 3-week course shows you how to make power and sample size determination for experiments, surveys and long-term trials using R, Stata, StatXact and other widely-available computer software. The course will show you how to make power and sample size determinations for product and treatment comparisons based on either frequencies or continuous measurements.  As both the lessons and the discussion board are online, you can follow the course at your own pace and on a schedule which best fits your availability

Who Should Take This Course: Anyone who needs to plan or execute experiments, surveys, or long-term clinical trials.  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), Division Head and Professor of Biology and Physics at West Coast University, Associate Professor of Applied Mathematics at Claremont College, and graduate of the program in mathematical statistics at UC Berkeley, is the author of A-Z of Error-Free Research Using R (CRC, 2012), Manager's Guide to Design and Conduct of Clinical Trials (Wiley, 2nd 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) (4th Edition, Wiley, 2012 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, Bulgaria, France, Holland, Ireland, Slovenia, and Spain, and was a traveling lecturer for the American Statistical Association. This is his seventh (7th) year of providing on-line interactive courses. 

Prerequisite: Familiarity with the concepts of statistical inference (hypothesis testing and confidence intervals).

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. Estimated weekly time requirements for this course - an hour and half for the lecture, an hour and a half for preparation, and another three hours for homework and review.  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 Program: The course is structured as follows

Session I--The Basics

            A.        Factors Underlying Power and Sample Size

            B.        Estimating Parameters

            C.        Binomial Trials

                        1.         Contingency tables

                        2.         When p is small--vaccine trials

                        3.         Applications to Clinical Trial Design

            D.        Second Thoughts

                        1.         Should the Study be Performed?

                        2.         Should There be Preliminary Trials?

                        3.                 Ending the Study


Session II--Continuous Measurements

            A.        Using Statistical Software

            B.        When Are Observations Almost Normal?

C.                 The Bootstrap

D.        Using the Pilot Sample


Session III - Advanced Techniques

            A.        Long-Term Studies

            B.        Sequential Sampling

            C.        Course Partipants' Projects

            D.        Meta-Analysis

E.                 Plan - Do ChecK 


Cost: The full cost of this three-week interactive on-line course is only $229.  Early-bird discount may apply.  Students, faculty and research workers at academic institutions are eligible for a further $35 discount. Just send an email from your academic email account to

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. Inc. (Ohio, USA) is an authorized retailer for goods and services provided by  Refund Policy: Up until one-week prior to the start of a course, a refund of the fee paid less $35 will be provided on request.  Although there are no refunds after that date, participants may enroll without charge the next time the course is offered.