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The table below shows an outline of the material we plan to cover each week. Students do not need to read ahead of lecture, however after each class should review the covered topics from the Scientific Methods for Health Sciences EBook. Each weeek, we meet once for a 3-hour lecture (Mondays) and once separately for a 1-hour discussion (Wednesdays). During face-to-face class time, we will try to cover most sections listed around that date. The daily breakdown of topics is provides to aid students that may prefer to have a more structured self-guided study plan.
HS 851 Fall'14 Week Dates Monday Wednesday Friday
1 9/1/2014 Syllabus Inference Fundamentals 1,2, or k sample parametric inference
Course Overview Homepage Power, ROC Curve, sample-size, effect-size, sensitivity, specificity mean, proportion, variance
Review Gradebook, Expectations, HWs, Projects    
Parametric Inference      
2 9/8/2014 Fundamentals Rules Simulations
Review      
Probability Theory     HW1 Due
       
3 9/15/2014 Discrete Continuous Normal Models/Inference
Review     Multi-modal/mixtures
Distributions      
       
4 9/22/2014 Study of causation and causal inference Measures of Occurrence, Association, and Interaction Clinical description of disease occurrences and associated factors
Epidemiology   Prevention and Control (NNT)  
      HW2 Due
       
5 9/29/2014 Correlation and Regression MLR ANOVA
Correlation/SLR/MLR      
ANOVA      
       
6 10/6/2014 MoM, MLE Estimation CIs Chi-Square Goodness of Fit Test
Point/Interval Estimation (CI) – MoM, MLE      
Chi-Square goodness of fit test     HW3 Due
       
7 10/13/2014
(Study Break)
1 or 2 Sample Medians Variances Median Differences of more than 2 Samples
Non-parametric inference Proportions    
    Midterm Review  
       
8 10/20/2014
Midterm
Projects, Data, Foci, Expectations Paper Selection, Critiques
Select Papers to Review Common mistakes and misconceptions in using probability and statistics, identifying potential assumption violations, and avoiding them Common mistakes and misconceptions in using probability and statistics, identifying potential assumption violations, and avoiding them  
Select Research Projects      
Common mistakes and misconceptions in using probability and statistics, identifying potential assumption violations, and avoiding them      
9 10/27/2014 Internal-Consistency Methods Internal-Consistency Methods Interrater Reliability
Cronbach's α Kuder-Richardson Formulas Cronbach's α Applications
Measurement Reliability/Validity      
Instrument performance Evaluation      
10 11/3/2014 Hazard Ratios Density, CDF, Hazard, and Survival Functions Exponential (constant Hazard) and Weibull Model (Linear with time Hazard) Densities
Survival Analysis Survival Analysis Goals Censoring  
Decision Theory     HW4 Due
       
11 11/10/2014 PCA ICA Factor Analysis
PCA/ICA/Factor Analysis      
       
       
12 11/17/2014 Clustering Classification  
Clustering and Classification      
      HW5 Due
       
13 11/24/2014 Imaging Statistics Derived Imaging Biomarkers Graphical Workflow Analyses
Applications      
       
       
14 12/1/2014 Paper Review Presentations Paper Review Presentations Paper Review Presentations
Paper Review Presentations 3x20-min 3x20-min 3x20-min
       
       
15 12/8/2014 Research Project Presentations Research Project Presentations Research Project Presentations
Research Project Presentations 3x20-min 3x20-min 3x20-min
3x3x20-min      
       
Final 12/15/2014   TBD  
SOCR Resource Visitor number Dinov Email