Clinical Statistics for Medical Researchers
This course presents various applied methods commonly used in the field of clinical biostatistics and medical research. Emphasis is placed on diagnostic assessment tools and screening tests.
|Faculty||Faculty of Health and Medicine|
|School||School of Medicine and Public Health|
Semester 1 - 2017
(Distance Education - Callaghan)
On successful completion of this course, students will be able to:
Case studies will be used to illustrate the medical application of various biostatistical methods and procedures including: Bayes’ rule and screening tests, ROC curves, sensitivity, specificity, accuracy, Mathew’s correlation coefficient, Bland-Altman plots, likelihood ratio of a positive/negative test, kappa statistic for clinical agreement, intraclass correlation coefficient, fixed and random effects models, meta-analysis, cluster binary data analysis, clinical prediction and outcomes research, and power/sample size estimation.
|Timetable||2017 Course Timetables for BIOS6100|