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.
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 analysis of variance; F-test; adjusting for multiple post-hoc comparisons
Additive and factorial two-way ANOVA; model selection