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COURSE CALENDAR

April 2008
   4 Friday Introduction to R - Statistical Analysis (4 weeks)
    Missing Data Analysis (4 weeks)
    Discrete Choice Modeling and Conjoint Analysis (4 weeks)
   11 Friday Introduction to Quantitative Risk Analysis (4 weeks)
    Categorical Data Analysis (4 weeks)
    Statistical Analysis of Microarray Data with R (5 weeks)
    Meta Analysis (4 weeks)
   18 Friday Advanced Design of Experiments (4 weeks)
    Adaptive Designs for Clinical Trials (4 weeks)
    Introduction to Statistics I: Inference for a Single Variable (3 weeks)
   25 Friday Sample Size and Power Determination (4 weeks)
    Logistic Regression (4 weeks)
    Randomization Tests (4 weeks)
May 2008
   2 Friday Modeling in R (4 weeks)
    Graphics in R (4 weeks)
    Many-Facet Rasch Measurement (4 weeks)
   9 Friday Mixed Effects Models with Applications (4 weeks)
    Generalized Linear Models (4 weeks)
   16 Friday Analysis of Sequential Events (4 weeks)
    Introduction to Statistics II: Working with Bivariate Data (3 weeks)
   23 Friday Introduction to Statistics for Beginners (3 weeks)
June 2008
   6 Friday National Income Statistics (3 weeks)
    Fundamentals of Epidemiology (5 weeks)
   13 Friday Introduction to Statistics I-AP: Inference for a Single Variable (3 weeks)
    Introduction to Statistics 3 - ANOVA and Multiple Regression (3 weeks)
    Understanding Standardized Tests (4 weeks)
   20 Friday Introduction to Structural Equation Modeling (4 weeks)
    Text Mining (4 weeks)
July 2008
   4 Friday Introduction to Resampling Methods (3 weeks)
    Practical Rasch Measurement (4 weeks)
   11 Friday Introduction to Statistics for Beginners (3 weeks)
    Survey Design and Sampling Procedures (4 weeks)
    Introduction to Statistics II AP: Working with Bivariate Data (3 weeks)
    Introduction to Biostatistics (4 weeks)
August 2008
   1 Friday Advanced Statistical Process Control (3 weeks)
    Modeling Longitudinal and Panel Data (4 weeks)
    Survey of Statistics for Beginners (3 weeks)
   8 Friday Introduction to Statistics 3 - ANOVA and Multiple Regression (3 weeks)
    Survey Analysis (4 weeks)
    Introduction to Statistics I: Inference for a Single Variable (3 weeks)
   29 Friday Nonparametric Statistics (4 weeks)
    Modeling in R (4 weeks)
September 2008
   5 Friday Introduction to R - Statistical Analysis (4 weeks)
    Advanced Structural Equation Modeling (4 weeks)
    Bias in Epidemiologic Research (4 weeks)
    Introduction to Statistics II: Working with Bivariate Data (3 weeks)
   12 Friday Introduction to Statistics for Beginners (3 weeks)
    Spatial Statistics With Geographic Information Systems (4 weeks)
    Introduction to Data Mining (4 weeks)
   19 Friday Forecasting Time Series (4 weeks)
    Clinical Trial Design (5 weeks)
   26 Friday Natural Language Processing (4 weeks)
    Bootstrap Methods (4 weeks)
    Survival Analysis (4 weeks)
October 2008
   3 Friday Introduction to Quantitative Risk Analysis (4 weeks)
    Regression Analysis (4 weeks)
    Categorical Data Analysis (4 weeks)
   10 Friday Introduction to Statistics 3 - ANOVA and Multiple Regression (3 weeks)
    Introduction to R - Data Handling (4 weeks)
    Statistics of Environmental Impact Assessment (4 weeks)
    Analysis of Epidemiologic Data (4 weeks)
    Introduction to Statistics I: Inference for a Single Variable (3 weeks)
   17 Friday Engineering Statistics (4 weeks)
    Data Mining: Unsupervised Techniques (4 weeks)
   24 Friday Modeling Count Data (4 weeks)
    Introduction to Bayesian Statistics (4 weeks)
   31 Friday Logistic Regression (4 weeks)
    Cluster Analysis (4 weeks)
    Statistical Analysis of Microarray Data with R (5 weeks)
November 2008
   7 Friday Graphics in R (4 weeks)
    Introduction to Statistics II: Working with Bivariate Data (3 weeks)
   14 Friday Introduction to Structural Equation Modeling (4 weeks)
   21 Friday Bayesian Approaches to Clinical Trials (4 weeks)
    Missing Data Analysis (4 weeks)
   28 Friday Sample Size and Power Determination (4 weeks)
December 2008
   5 Friday Introduction to Statistics 3 - ANOVA and Multiple Regression (3 weeks)
    Meta Analysis (4 weeks)
January 2009
   16 Friday Statistical Process Control (4 weeks)
   23 Friday Decision Trees and Rule-Based Segmentation (4 weeks)
February 2009
   6 Friday Analysis of Nonnormal Data (4 weeks)
   13 Friday Using the Census's American Community Survey (4 weeks)
   20 Friday Introduction to Design of Experiments (4 weeks)
   27 Friday Ecological and Environmental Sampling (4 weeks)
March 2009
   20 Friday Forecasting Time Series (4 weeks)
   27 Friday Bootstrap Methods (4 weeks)
    Survival Analysis (4 weeks)
April 2009
   3 Friday Discrete Choice Modeling and Conjoint Analysis (4 weeks)
   10 Friday Introduction to Quantitative Risk Analysis (4 weeks)
    Categorical Data Analysis (4 weeks)
    Advanced Design of Experiments (4 weeks)
    Meta Analysis (4 weeks)
May 2009
   1 Friday Graphics in R (4 weeks)
June 2009
No courses currently scheduled

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