Monday 30 July 2012

Sample Size using PASS software from NCSS


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.

For India Registration and pricing, please visit us at www.india.statistics.com.

Call: 020 66009116

Websites:





Wednesday 25 July 2012

Bayesian Statistics


Bayesian statistics has taken firm root with the advent of computing power that has made it practical; most spam filters are based on Bayesian methods.  But Thomas Bayes, during his lifetime, was known primarily in his community as a "dissenting minister," whose mathematical interests came second.

Statistics.com's Bayesian sequence are:

1. Introduction to Bayesian Statistics (
http://www.statistics.com/bayesian/)
2. Introduction to Bayesian Computing and Techniques (
http://www.statistics.com/bayesiancomputing/)
3. Bayesian Regression Modeling via MCMC (
http://www.statistics.com/mcmc)
4. Bayesian Environmental Statistics (http://www.statistics.com/envirobayes)

To check course contents please visit course description page.

Dr. William Bolstad, the author of "Introduction to Bayesian Statistics," teaches the first course, and Dr. Peter Congdon, author of "Bayesian Statistical Modeling," "Applied Bayesian Modeling," and "Bayesian Models for Categorical Data," teaches the next two and Dr. Paul Black and Dr. Mark Fitzgrald teaches last course.

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.

For India Registration and pricing, please visit us at www.india.statistics.com.

Call: 020 66009116

Websites: