Course Calendar

Year 2012

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May 2012

04 Friday Introduction to Statistics 2: Inference and Relationships (3 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
11 Friday Mixed and Heirarchical Linear Models (4 weeks)
Spatial Statistics with Geographic Information Systems (4 weeks)
Graphics in R (4 weeks)
Modeling Count Data (4 weeks)
18 Friday Introduction to Structural Equation Modeling (4 weeks)
Advanced Survival Analysis (4 weeks)
Sample Size and Power Determination (4 weeks)
Financial Risk Modeling (4 weeks)
25 Friday Principal Components and Factor Analysis (4 weeks)
Engineering Statistics (4 weeks)
Biostatistics in R: Clinical Trial Applications (4 weeks)
Calculus Review (3 weeks)

June 2012

01 Friday Introduction to Statistics 3 - ANOVA and Multiple Regression (3 weeks)
Practical Rasch Measurement - Core Topics (4 weeks)
Epidemiologic Statistics (5 weeks)
08 Friday Text Mining (4 weeks)
Introduction to Statistics 1 AP: Inference for a Single Variables (3 weeks)
Statistics 2 – Inference and Association (4 weeks)
15 Friday Programming in R - Advanced (4 weeks)
Introduction to Assessment and Measurement (4 weeks)
Logistic Regression (4 weeks)
22 Friday Introduction to Statistical Issues in Clinical Trials (4 weeks)
Probability Distributions (4 weeks)
Smoothing with P-splines (Using R) (4 weeks)
An Introduction to Bayesian Hierarchical and Multi-level Models (4 weeks)
29 Friday Matrix Algebra Review (4 weeks)
Data Mining - R (4 weeks)
Advanced Structural Equation Modeling (4 weeks)

July 2012

06 Friday Introduction to Resampling Methods (3 weeks)
Practical Rasch Measurement - Further Topics (4 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
13 Friday Survey Design and Sampling Procedures (4 weeks)
Multivariate Statistics (4 weeks)
Introduction to Statistics 2 AP: Working with Bivariate Data (3 weeks)
Statistics 3 – ANOVA and Regression (3 weeks)
20 Friday Natural Language Processing (4 weeks)
Visualization in R with ggplot2 (4 weeks)
Modeling Longitudinal and Panel Data (4 weeks)
Meta Analysis (4 weeks)
27 Friday Clinical Trials - Phamacokinetics and Bioequivalence (4 weeks)
Introduction to R - Statistical Analysis (4 weeks)
Introduction to R - Data Handling (4 weeks)

August 2012

03 Friday Regression Analysis (4 weeks)
Maximum Likelihood Estimation (2 weeks)
10 Friday Sample Size using PASS software from NCSS (4 weeks)
Biostatistics 1 (4 weeks)
Many-Facet Rasch Measurement (4 weeks)
Statistics 2 – Inference and Association (4 weeks)
17 Friday Survey Analysis (4 weeks)
Introduction to Bayesian Statistics (4 weeks)
24 Friday Introduction to Optimization (4 weeks)
31 Friday Meta Analysis 2 (4 weeks)
Modeling in R (4 weeks)
Sentiment Analysis (3 weeks)

September 2012

07 Friday Calculus Review (4 weeks)
Introduction to Predictive Modeling (4 weeks)
Logistic Regression (4 weeks)
Environmental Statistics (4 weeks)
Statistics 1 – Probability and Study Design (4 weeks)
14 Friday Biostatistics 2 (4 weeks)
Forecasting Analytics (4 weeks)
Rasch Applications in Clinical Assessment, Survey Research, and Educational Measurement (4 weeks)
Avoiding Selection Bias in Randomized Clinical Trials (5 weeks)
Statistics 3 – ANOVA and Regression (3 weeks)
21 Friday Survival Analysis (4 weeks)
Introduction to Bayesian Computing and Techniques (4 weeks)
Introduction to Quantitative Risk Analysis (4 weeks)
28 Friday Categorical Data Analysis (4 weeks)
Advanced Optimization (4 weeks)
Introduction to R - Data Handling (4 weeks)

October 2012

05 Friday CART (4 weeks)
12 Friday Data Mining: Unsupervised Techniques (4 weeks)
Data Mining Mistakes and How to Avoid Them (2 weeks)
Analysis of Survey Data from Complex Sample Designs (4 weeks)
Statistics 2 – Inference and Association (4 weeks)
19 Friday Statistical Analysis of Microarray Data with R (4 weeks)
Graphics in R (4 weeks)
Modeling Count Data (4 weeks)
Clinical Trials - Clustering (4 weeks)
26 Friday Programming in R (4 weeks)
Interactive Data Visualization (4 weeks)
Safety Monitoring Committees in Clinical Trials (4 weeks)
Introduction to R - Statistical Analysis (4 weeks)

November 2012

02 Friday Matrix Algebra Review (4 weeks)
Cluster Analysis (4 weeks)
09 Friday Advanced Survival Analysis (4 weeks)
Spatial Statistics with Geographic Information Systems (4 weeks)
Introduction to Structural Equation Modeling (4 weeks)
Categorical Data - Applied Modeling (4 weeks)
16 Friday Biostatistics in R: Clinical Trial Applications (4 weeks)
Bayesian Regression Modeling via MCMC Techniques (4 weeks)
Introduction to Support Vector Machines in R (4 weeks)
Statistics 3 – ANOVA and Regression (3 weeks)
23 Friday Sample Size and Power Determination (5 weeks)
Survey of Statistics for Beginners (3 weeks)
Risk Simulation and Queuing (4 weeks)
Generalized Linear Models (5 weeks)
Risk Simulation and Queuing (4 weeks)
30 Friday Meta Analysis (5 weeks)

December 2012

07 Friday Smoothing with P-splines (Using R) (5 weeks)
Maximum Likelihood Estimation (2 weeks)
Statistics 2 – Inference and Association (4 weeks)
14 Friday Spatial Analysis Techniques in R (5 weeks)

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