Biostatistics 2
This course covers clinical trial designs including randomized controlled trials, ROC curves, CI and tests for relative risk and odds ratio, and an introduction to survival analysis.
Tuition: $369 (1 CEUs)
Next dates available:
- March 12, 2010
- September 10, 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: $369
Next dates available:
- To be Announced.

Sample Size and Power Determination
This course shows you how to make power and sample size determination for experiments, surveys and long-term trials.
Tuition: $369
Next dates available:
- November 27, 2009
- May 14, 2010

Logistic Regression
Logistic regression extends ordinary least squares (OLS) methods to model data with binary (yes/no, success/failure) outcomes. Rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure.
Tuition: $369
Next dates available:
- March 12, 2010
- September 10, 2010

Categorical Data Analysis 1
This course will cover the analysis of contingency table data (tabular data in which the cell entries represent counts of subjects or items falling into certain categories). Topics include tests for independence (comparing proportions as well as chi-square), exact methods, and treatment of ordered data. Both 2-way and 3-way tables are covered.
Tuition: $369
Next dates available:
- April 09, 2010
- October 01, 2010

Survival Analysis
The course describes the various methods used for modeling and evaluating survival data, or time-to event data.
Tuition: $369
Next dates available:
- March 26, 2010
- September 24, 2010

Epi 3: Analysis of Epidemiologic Data
This is a second level epidemiology course that emphasizes methods for analyzing epidemiologic data. Topics covered in the course include: simple analysis of 2x2 tables, control of extraneous variables (including an introduction to logistic regression), stratified analysis, and matching.
Tuition: $369
Next dates available:
- October 08, 2010

Epi 2: Designing Epidemiologic Studies
This is a second level epidemiology course that emphasizes the underlying concepts and methods for addressing validity and bias issues in epidemiologic research. Topics covered in the course include: overview of validity and bias, selection bias, information bias, and confounding bias.
Tuition: $369
Next dates available:
- September 03, 2010

Epi 1: Fundamentals of Epidemiology
This is an introductory epidemiology course that emphasizes the underlying concepts and methods of epidemiology. Topics covered in the course include: study designs (clinical trials, cohort studies, case-control studies, and cross-sectional), measures of disease frequency and effect.
Tuition: $369 (1 CEUs)
Next dates available:
- June 04, 2010

Biostatistics 1
This course covers the principal statistical concepts used in medical and health sciences. Basic concepts common to all statistical analysis are reviewed, and those concepts with specific importance in biostatistical are covered in detail.
Tuition: $369 (1 CEUs)
Next dates available:
- January 29, 2010
- August 06, 2010

Introductory Bayesian Modeling via MCMC Techniques
This course covers the application of Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WINBUGS software.
Tuition: $369
Next dates available:
- September 10, 2010
- March 12, 2010

Multivariate Statistics
This course covers key multivariate procedures such as classification, clustering, principal components and factor analysis.
Tuition: $369
Next dates available:
- July 16, 2010
- February 19, 2010

Categorical Data Analysis 2
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: $369
Next dates available:
- November 12, 2010
- May 14, 2010

Bootstrap Methods
This course covers the basic theory and application of the bootstrap family of procedures, with the emphasis on applications.
Tuition: $369
Next dates available:
- September 24, 2010
- March 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: $369
Next dates available:
- To be Announced.

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 (1 CEUs)
Next dates available:
- July 02, 2010
- February 26, 2010

Modeling in R
This course will show you how to use R to create statistical models and use them to analyze data.
Tuition: $369
Next dates available:
- October 22, 2010
- February 12, 2010

Modeling Count Data
This course deals with regression models for count data; i.e. models with a response or dependent variable data in the form of a count or rate. The course will cover Poisson regression, the foundation for modeling counts, as well as extensions and modifications to the basic model.
Tuition: $369
Next dates available:
- October 22, 2010

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: $369
Next dates available:
- October 01, 2010
- February 26, 2010

Modeling Longitudinal and Panel Data
This course covers the extension of Generalized Linear Models (GLM) to model varieties of longitudinal and clustered data, called panel data.
Tuition: $369
Next dates available:
- July 02, 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: $369
Next dates available:
- December 17, 2010
- May 14, 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: $369 (1 CEUs)
Next dates available:
- October 22, 2010
- April 23, 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: $399
Next dates available:
- December 03, 2010
- July 09, 2010