Statistical principles and concepts required to design clinical trials and analyse trial results will be introduced, including the appraisal of the appropriateness of analyses appearing in previous trial reports. Concepts which will be developed include an introduction to hypothesis testing, confidence interval estimation and understanding of univariable and adjusted analyses. Students will undertake analyses of study data where outcomes are continuous, binary and time-to-event variables Concepts and issues involved in performing landmark analyses and in identification of key prognostic variables and their interpretation in a clinical trials context will be introduced. The basis for and understanding of sample size calculations for clinical trials will be covered. Analyses will be performed using statistical software. SPSS software will be supported but students may use any package they are familiar with and have available. It is the student's responsibility to purchase the software. Details will be given at the beginning of the semester.
Discussion groups and problem based learning
Two online quizzes multiple choice, multiple answer quizzes (2x 10%), two x assignments requiring analysis, calculations, presentation and interpretation of results (2x 40%)
No set text, notes will be provided on eLearning. Other resources: spreadsheet software (e.g. Microsoft Excel), statistical software capable of performing standard statistical analyses (e.g. SPSS).