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Applied Statistical Principles in Pharmacology Monday 3-5:30 pm - Pharm Library - NE 401 Med/Dent SEE DANIEL PAK (C405; 7-8750)
Lecture schedule I. Instructor: Wolfe 9/8 Basic Principles of Statistics Probability distributions - random error - experimentally-induced error ‘Middleness’: mean, median, mode ‘Spreadoutness’: standard deviations, variance, standard errors Statistical vs systematic errors and the meaning of ‘p’ t-tests, paired and unpaired 1-way ANOVA - post hoc tests Linear regression and correlation
II. Instructor: Pak 9/15, 9/22 Experimental Design Concepts Validity and threats Experimental error and bias Planning experiments: Replication, control, blinding, balance, randomization, and blocking n numbers Power Analysis Alpha and beta Type I and Type II errors The significance of the p value
III. Instructor: Wolfe 9/29, 10/6 How to choose statistical tests, analyze and troubleshoot your data Systematic error data scatter medians vs. means data transformations: log, normalization alternate hypotheses
IV. Instructor: Malkova 10/20, 10/27 ANOVAs and multiple group comparisons One-way ANOVA single and repeated measures Two-way ANOVA Post hoc tests: Tukey, Bonferroni, Student-Newman Keuls, Dunnett
V. Instructor: Dretchen 11/3, 11/10 Non-parametric statistics Compare and contrast the appropriate use of parametric and non-parametric statistics (underlying assumptions, power and criteria for use). Integral, nominal and ordinal scales Sign Test, Wilcoxon Matched Pair Sign Rank Test and the Mann-Whitney U Test as alternatives to the parametric t test. Chi Square Test for multiple comparisons.
Grading: Problem sets 60% / Quizzes 20% / Class participation 20% |
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