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## Fall 2014: HS 851: Schedule

#### Scientific Methods for Health Sciences: Applied Inference

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
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