BMS1042 Biostatistics Notes

Description

Detailed lecture notes that covers all learning objectives with clear and concise explanations. Notes included for: - Lecture 1: Types of data and sampling methods - Lecture 2: Graphs and tables - Lecture 3: Distribution of observations - Lecture 4: Distribution of samples and making inferences on the population - Lecture 5: 95% CI, p-values and hypothesis tests (Two sample t-tests) - Lecture 6: 95% CI, p-values and hypothesis tests (Paired sample t-tests) - Lecture 7: Measuring risk of outcome among exposures - Lecture 8: Modelling and predicting using linear regression - Lecture 9: Measuring association between observed and expected frequencies (chi-squared test) - Lecture 10: Logistic regression