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Stat 305 - Introduction to Biostatistical Methods for Health Sciences


At Simon Fraser University - Burnaby Campus September-December (Fall) 2016
SFU Website Syllabus
See Wk 1-1 notes for more details and some overriding information.



Usual Office Hours: Monday, Wednesday, Thursday 3-4pm. In the statistics workshop.


Assignments
Assignment 1

Textbook pages for assignments

Chapters 6 and 15 for Assignment 1

Filled Lecture Notes

Week 1 , Syllabus and Policies

Week 2 , Review: Probability and disease diagnostics, conditional probability, marginal, and Bayes rule

Week 3, Part 1 , Defining a nominal variable, Chi-Squared Tests (goodness of fit /1-way, and independence / 2-way), ROC curves
Week 3, Part 2 , Odds and Odds Ratios

Week 4 (Sept 26, 28), Worked examples, Uniform and Poisson distributions (briefly), Limitations of the chi-square test, expected cell size, and Fisher’s exact test, Multiple 2x2 tables,

Week 5 (Oct 3, 5), Simpson’s paradox, and the Mantel-Haenszel test. Using chi-squared for Ordinal data. The Oridinal 'regression' coefficient. Reading discussion: The ASA discussion on p-values. Review problems, and practice midterm.

Week 6 (Oct 10, 12), No class on Thanksgiving, Oct 10. Midterm Oct 12

Week 7 (Oct 17, 19), Class on Oct 17 will be a video instead of live , Correlation vs association, Pearson's r (also called 'the correlation coefficient'), non-linearity, Spearman rank correlation. Hypothesis testing for (Pearson) correlation, Correlation and regression. r-squared, (also called 'the coefficient of determination'), The bivariate normal assumption.

Week 8 (Oct 24, 26), Examples using R: Basic functions, Regression, Diagnostic plots, specifically Residuals and Cook's Distance, Confidence bands, and Prediction bands.

Week 9 (Oct 31, Nov 2), Multiple regression: specifically Colinearity, Perturbations, Variance Inflation Factors (VIFs), Polynomial terms and Interactions, Dummy Variables and Indicator variables

Week 10 (Nov 7, 9), Akaike Information Criterion (AIC), the BIC, The Stepwise model selection method. Discussion of reading assignment on Causality, directed acyclic graphs (DAGs), and causality coeffients. Examples in Gerontology

Week 11 (Nov 14, 16) , Review problems, and practice midterm. All of this will be assigned over the weekend and solved in class. Midterm 2 Nov 16

Week 12 (Nov 21, 23), How NOT to handle binary responses variables. Odds, Log Odds, and the Logit Function. Logistic Regression: examples, regression on two variables.

Week 13 (Nov 28, 30), Shapiro-Wilks Test, Cross Validation and quantile-quantile plots. Sampling basic, sampling weighting/bias, adaptive and snowball/Resp. Driven sampling. Case control studies. Funnel plots, if time permits.

Week 14 (Dec 3, 5), Survival analysis including life tables. Censoring, Kaplan-Meier method, Kaplan-Meier plot. Cox proportion hazard test, log-rank test. Last Day of Classes Dec 5

Week 15 (Dec 6-11), Finals review session or recorded session. Additional online support. Final exam Dec 12

Readings:



Datasets:



Secondary Resources: