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Elective Courses (4 required)
Avoiding Selection Bias in Randomized Clinical Trials
This course covers the essential concepts required to design rigorous randomized trials so as to ensure valid treatment comparisons.
Tuition: $399 (6.25 CEUs)
Next dates available:
- September 17, 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
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: $399 (5 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
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 Approaches to Clinical Trials
This course covers the essentials of Bayesian analysis in randomized clinical trials and the evaluation of medical interventions. We will discuss the distinctions between Bayesian analysis and the more traditional frequentist analysis, and the pros and cons of each approach.
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
Generalized Linear Models
This course will explain the theory of generalized linear models (GLM), outline the algorithms used for GLM estimation, and explain how to determine which algorithm to use for a given data analysis. GLM allows the modeling of responses, or dependent variables, that take the form of counts, proportions, dichotomies (1/0), positive continuous values, as well as values that follow the normal Gaussian distribution. Logistic, Poisson, and negative binomial regression models are three of the most noteworthy GLM family members.
Tuition: $399 (5 CEUs)
Next dates available:
- November 26, 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
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
Randomization, Permutation and Exact Tests
Online course in randomization (permutation) tests.
Tuition: $399
Next dates available:
- April 22, 2011
Mixed and Hierarchical Linear Models
This course will explain the basic theory of linear and non-linear mixed effects models, including hierarchical linear models. It will outline the algorithms used for estimation, primarily for models involving normally distributed errors, and will provide examples of data analysis. The course aims at providing a basic understanding and knowledge of the mixed effect models that will allow you to use them in practice.
Tuition: $399 (5 CEUs)
Next dates available:
- May 06, 2011
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: $399 (5 CEUs)
Next dates available:
- July 01, 2011
Survey Design and Sampling Procedures
This course covers the crafting of survey questions, the design of surveys, and different sampling procedures that are used in practice. Longstanding basic principles of survey design are covered, and the impact of the trend toward increased respondent resistance is discussed.
Tuition: $399 (5 CEUs)
Next dates available:
- July 08, 2011
Survey Analysis
This course covers the analysis of data gathered in surveys.
Tuition: $399 (5 CEUs)
Next dates available:
- To be Announced.
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.
Nonparametric Statistics
This course teaches you how to perform a range of nonparametric statistical analyses - robust procedures that do not assume that data are samples from prespecified families of distribution such as the normal or exponential.
Tuition: $399 (5 CEUs)
Next dates available:
- To be Announced.
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