Sample Size using PASS software from NCSS 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. Learn more in "Sample Size using PASS software from NCSS" which will be taught online by Dr. Thomas P. Ryan at statistics.com. For more details please visit at http://www.statistics.com/sampleNCSS.
Dr. Thomas P. Ryan has over 25 years of teaching
experience and is a former consultant to Cytel Software Corporation,
Cambridge, MA. He served as a visiting Professor in the Department of
Statistics at the University of Michigan and as Director of Statistical
Consulting in the Department of Statistics at Case Western Reserve University. In
addition to the course text, "Statistical Methods for Quality Improvement,"
Dr. Ryan has authored "Modern Engineering Statistics," "Modern
Experimental Design," and "Modern Regression Methods," 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 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.
Who Should Take
This Course:
Anyone
who needs to design or analyze statistical studies, or make decisions
concerning the number of subjects.
Course Program:
Course outline: The course
is structured as follows
SESSION 1: Introduction to PASS software from NCSS
- 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
SESSION 2: Power and Sample Size for Means and Proportion
- 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
SESSION 3: Power and Sample Size for ANOVA and Regression
- Sample size determination
for most-often used statistical methods:
- Analysis of Variance
- Linear Regression
- Logistic Regression
- Commonly used Experimental
Designs, plus Repeated Measures designs
SESSION 4: Miscellaneous Topics
(Students to
study what interests them)
- Microarrays
- Clinical Trials
- Quality Improvement Methods
- Nonparametric Tests
- Equivalence Tests
- Multivariate Methods
- Survival Analysis and
Reliability
You will be able to ask questions
and exchange comments with the instructors via a private discussion board
throughout the course. The courses take place online at statistics.com
in a series of 4 weekly lessons and assignments, and require about 15
hours/week. Participate at your own convenience; there are no set times
when you must be online. You have the flexibility to work a bit every day, if
that is your preference, or concentrate your work in just a couple of days.
For Indian participants
statistics.com accepts registration for its courses at special prices in Indian
Rupees through its partner, the Center for eLearning and Training (C-eLT),
Pune.
Call: 020 66009116
Websites:
