Basic Concepts of Biostatistics with R Commander

Describing data. Hypothesis testing. Epidemiological study design. Selecting proper statistical tests. Comparing a continuous outcome variable between two independent groups: Student's t-test and Mann-Whitney U test. Paired-t tests and Wilcoxon's signed rank tests. Comparing continuous variable between three+ groups: Analysis of Variance, Kruskal-Wallis tests, Friedman tests. Linear regression and correlation analysis. Relative risk, Rate ratio, Odds ratio, Logistic regression. Analysis for disease diagnosis and prognosis: Sensitivity, specificity and receiver-operating-curve (ROC). Survival Analysis. Computing sample size for a clinical research.

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• Biologia, ciências da vida
• Epidemiologia e estatística médica
• Probabilidade e Estatística