Marshall University School of Medicine Department of Biochemistry and Microbiology BMS 617 Lecture 16 : Summary Marshall University Genomics Core Facility

Key topics from the course Samples vs populations Confidence intervals Types of variable Averages and measures of scatter Presenting data Hypothesis testing and p-values Statistical challenges: multiple hypotheses, non- normality, and outliers Survival analysis Statistical models Sample size and power Marshall University School of Medicine

Statistical Tests T-tests – Various types (one class, two class, one-tailed, two- tailed, paired, unpaired, assume equal variance, etc) Chi-squared and Fisher’s exact test Mantel-Cox test (a.k.a. logrank test) Correlation ANOVA – One-way and two-way – Post-hoc tests Marshall University School of Medicine

Statistical Models Uses of a statistical model Simple linear regression Multiple regression (linear, logistic, proportional hazards) Comparisons of models – As hypothesis tests Marshall University School of Medicine