Transcription of Survival Analysis (SVA)
{{id}} {{{paragraph}}}
Study Guide Survival Analysis (SVA). Semester 1, 2018. Prepared by: Dr. Ken Beath Department of Statistics, Faculty of Science and Engineering Macquarie University Copyright Department of Statistics, Macquarie University Contents Background .. 2. Unit 2. Workload 3. Prerequisites .. 3. Co-requisites .. 3. Learning Outcomes .. 3. Unit content .. 3. Recommended approaches to study .. 4. Method of communication with coordinator(s) .. 4. Unit schedule .. 6. Assessment .. 6. Submission of assessments and academic honesty policy .. 7. Late submission of assessments and extension 7. Learning resources .. 8. Software .. 8. Feedback .. 8. Required mathematical background .. 9. Changes to SVA since last delivery, including changes in response to student evaluation .. 9. Biostatistics Collaboration of Australia Survival Analysis (SVA). Semester 1, 2018. Instructor contact details Dr Ken Beath Room 634.
This unit explores biostatistical applications of survival analysis. These begin with the Kaplan-Meier curve definition and its extension to the comparison of survival of
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
An Introduction to Survival Analysis, Survival Analysis, Introduction to Survival Analysis, Survival Analysis Using Cox Proportional, An introduction, Analysis, Introduction, Introduction to Power and Sample Size Analysis Book Excerpt, Survival of the Fittest, Virus survival in the environment, Survival