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Elective Courses (3 required)
Bootstrap Methods
This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications.
Tuition: $399 (5 CEUs)
Next dates available:
- September 24, 2010
An Introduction to Bayesian Computing and Techniques
Participants in this course will learn why Bayesian computing has gained wide popularity, and how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software.
Tuition: $399 (5 CEUs)
Next dates available:
- September 24, 2010
Programming in R
The aim of the course is to give you the skills to work with a variety of data types and data sources in R. You'll also learn some techniques for programming "in-the-large", when you are trying to provide a suite of functions to flexibly solve a large class of problems.
Tuition: $399 (5 CEUs)
Next dates available:
- October 08, 2010
Advanced Logistic Regression
After taking this course, participants will be able to specify, implement and interpret the output of a variety of advanced logistic regression models not covered in the first course, "Logistic Regression."
Tuition: $399 (5 CEUs)
Next dates available:
- October 15, 2010
Statistical Analysis of Microarray Data with R
This course will acquaint you with the process of microarray data mining from beginning to end. You will learn how to how to preprocess the data, estimate gene expression patterns, cluster genes to detect interesting gene expression patterns, and classify experiments (subjects) based on gene expression patterns. Illustrations of the statistical issues involved at the various stages of the analysis will use real data sets from DNA microarray experiments.
Tuition: $399 (6.25 CEUs)
Next dates available:
- October 22, 2010
Categorical Data - Applied Modeling
This course continues the analysis of categorical data, contains a review of logistic regression, and introduces multinomial responses for logistic regression, probit, logit and loglinear analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010
Spatial Statistics With Geographic Information Systems
Spatial statistical analysis uses methods adapted from conventional statistics to address problems in which spatial location is the most important explanatory variable. This course will explain and give examples of the analysis that can be conducted in a geographic information system such as ArcGIS or Mapinfo.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010
Advanced Survival Analysis
This course focuses on the extension of the Cox proportional hazards model to (a) recurrent event survival analysis and (b) competing risks survival analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010
Bayesian Regression Modeling via MCMC Techniques
This course covers the application of Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software.
Tuition: $399 (5 CEUs)
Next dates available:
- November 19, 2010
Missing Data Analysis
This course will cover the theory and practice of two modern methods of handling missing data: maximum likelihood and multiple imputation.
Tuition: $399 (5 CEUs)
Next dates available:
- November 19, 2010
Meta Analysis
This course will explain meta analysis - the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.
Tuition: $429 (5 CEUs)
Next dates available:
- December 03, 2010
Matrix Algebra Review
This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors. After successfully completing this course, you will be able to use and understand vector and matrix operations and equations, find and use a matrix inverse, and use and understand the eigenset of a symmetric matrix.
Tuition: $299 (3.75 CEUs)
Next dates available:
- December 10, 2010
Essentials of Biostatistics for Medical Researchers, Clinicians and Nurses
This course covers the essentials of biostatistics, emphasizing topics that are important in medical research and clinical trials. It is aimed at medical researchers who need greater familiarity with statistical topics.
Tuition: $399 (6.25 CEUs)
Next dates available:
- December 10, 2010
Analysis and Sensitivity Analysis for Missing Data
This course extends the study of missing data analysis that was introduced in "Missing Data", and covers the situation when data are not missing at random.
Tuition: $399 (5 CEUs)
Next dates available:
- January 21, 2011
Multivariate Statistics
This course covers key multivariate procedures such as classification, clustering, principal components and factor analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- February 18, 2011
Introduction to Resampling Methods
The course introduces the basic concepts and methods of resampling methods, including bootstrap procedures and permutation (randomization) tests, with little or no complex theory or confusing notation.
Tuition: $299 (3.75 CEUs)
Next dates available:
- February 25, 2011
Introduction to Bayesian Statistics
This course will introduce you to the basic ideas of Bayesian Statistics. You will learn how to perform Bayesian analysis for a binomial proportion, a normal mean, the difference between normal means, the difference between proportions, and for a simple linear regression model.
Tuition: $399 (5 CEUs)
Next dates available:
- To be Announced.
Modeling in R
This course will show you how to use R to create statistical models and use them to analyze data.
Tuition: $399 (5 CEUs)
Next dates available:
- To be Announced.
Maximum Likelihood Estimation
This course will cover the derivation of maximum likelihood estimates, and their properties.
Tuition: $179 (2.5 CEUs)
Next dates available:
- To be Announced.
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