Sample Size using PASS software from NCSS
Dr. Thomas P. RyanAim of Course:
This course will offer an introduction to sample size and power analysis using PASS (Power Analysis and Sample Size) software from NCSS, and will show how to use it simply and effectively to plan the appropriate sample size for a study. The power of a study (the study's ability to establish that a treatment effect exists) is determined by such factors as the magnitude of the treatment effect, the sample size, alpha (the level of statistical significance required), and (for survival studies) the study duration.Who Should Take This Course:
Anyone who needs to design or analyze statistical studies, or make decisions concerning the number of subjects.Course Program:
The course is structured as follows:SESSION 1:
- Review hypothesis testing and confidence interval construction
- Introduction to sample size determination and power for one mean and two means (variances assumed known)
- Retrospective power and labeling of effect sizes
- Introduction to PASS
- Sample size determination for one and two means with variances unknown and for confidence intervals
- Independent samples and paired samples
- One proportion and two proportions
- One variance
- Considerations in determining sample size: power, cost of sampling, ethics
- Sample size determination for most-often used statistical methods:
- Analysis of Variance
- Linear Regression
- Logistic Regression
- Commonly used Experimental Designs, plus Repeated Measures designs
- Microarrays
- Clinical Trials
- Quality Improvement Methods
- Nonparametric Tests
- Equivalence Tests
- Multivariate Methods
- Survival Analysis and Reliability
The Instructor:
Dr. Thomas P. Ryan is the author of Modern Engineering Statistics, Modern Experimental Design, Modern Regression Methods and Statistical Methods for Quality Improvement, all from Wiley, plus numerous papers in peer-reviewed journals. He is an elected Fellow of the American Statistical Association, American Society for Quality, and Royal Statistical Society, and has been listed in Marquis Who's Who in America. He served on the Editorial Review Board of the Journal of Quality Technology from 1990 through 2006 and was the Book Review Editor of that journal from 2003 through 2006.Organization of the Course:
The course takes place over the internet, at statistics.com. 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 access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor. The course is scheduled to take place over 4 weeks, and typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.Certificates and Grades:
You may be interested only in learning the material presented, and not be concerned with grades or certificates. Or you may be enrolled in a statistics.com Program in Advanced Statistical Studies that requires demonstration of proficiency in the subject, in which case your work will be assessed for purposes of issuing a grade. Or you may require only a "Certificate of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). As you begin the class, you will be asked to specify your category.Credit:
This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a certificate will be issued by statistics.com, upon request.Dates:
Jul. 30 - Aug. 27, 2010Click here to be notified of future course offerings.
Participants gain access to the online materials on the first day of the course, and typically spend about 15 hours per week (at their convenience). You retain full access to course materials, including discussion board, for two weeks after the course closing date.
Level:
Intermediate/IntroductoryPrerequisite:
Participants should be familiar with basic statistics (such as the background provided by Survey of Statistics for Beginners, Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data).For those working in the life sciences, Biostatistics 1 may also be helpful. For additional information about course prerequisites, click here.
Course Text:
All necessary materials will be provided online.Software:
Participants should have access to PASS software by NCSS. For those needing software, a trial will be made available for the duration of the course.Registration:
Register Online - $499Register Online (academic) - $399 (you must be affiliated with a college, university or high school)
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.
Note: Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.
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