Objectives: the students will develop and acquire the insight, tools and skills needed to be educated users and consumers of biostatistics. They will recognize data types, and correctly identify the statistical methods appropriate for analysis of a given clinical dataset. They will understand the basic concepts of statistics, including elementary probability theory, sampling, estimation, confidence intervals, and hypothesis testing. They will be able to conduct graphical and numerical exploratory data analysis using SPSS, and to perform statistical analyses, including comparative tests of categorical and continuous data.
Course Content
Data summaries | Numeric and graphic data summaries in SPSS |
Probability and normal distribution | Elementary probability theory; the normal distribution |
Central limit theorem and confidence intervals | Sampling distributions and applications to statistical inference |
Hypothesis testing for one group | Hypothesis testing: type I and II error, 1-sided and 2-sided tests; t-test for one group |
Statistical inference for two groups | Paired and independent groups t-test; Wilcoxon rank-sum test; sample size calculation |
Inference for proportions | Binomial distribution; one-sample z-test for proportions; McNemar’s test for paired samples |
Inference for proportions, two groups | Comparing proportions in independent groups: z-test, Chi-square test, Fisher’s exact test. |
One-way ANOVA | One-way analysis of variance; F-test; adjusting for multiple post-hoc comparisons |
Two-way ANOVA | Additive and factorial two-way ANOVA; model selection |
2019 Syllabus