Survival Analysis Using Spss
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SURVIVAL ANALYSIS USING SPSS Friday 9th June 2017, 1.30pm – 5.00pm Please RSVP by Monday 22nd May
Workshop Presenter Prof. Max Bulsara Chair in Biostatistics, Institute for Health Research, University of Notre Dame Australia, Fremantle
Survival/time-to-event analysis is appropriate when the outcome of interest is an event and that event has not occurred for everyone in the dataset. For this type of event-time data, ordinary regression analysis won’t do the job. The outcome can be death, recurrence of tumor, recovery from an illness, task completion, failure of equipment etc.
The simplest analysis is the log-rank test that assesses differences according to a single factor. Cox proportional hazards regression is appropriate to investigate the rate at which the event occurs according to several potential predictors.
Target Audience This is an intermediate level workshop. This workshop is suitable for researchers, academics, doctors, nurses, allied health professionals, service staff and HDR students, who want to understand concepts and techniques of statistical modelling of event history data and intends to use SPSS software to analyse their data. This workshop would suit people currently involved in, or about to start, postgraduate study and other researchers who wish to expand their quantitative research skills into regression methods.
Pre-requisites This is a follow-up to the Introduction to Logistic Regression using SPSS workshop. It assumes a good working knowledge of SPSS and regression methods.
Aim This workshop gives an introduction to time-to-event (survival) data for non-statisticians, and covers the following topics:
· Use of Kaplan-Meier · Cox regression analyses · Hazard ratios · How to set the data up for analysis · Test for interactions in the models · Assessing model fit · Interpretation of SPSS output
Teaching Method Presentation, lecture, demonstration, hands-on exercises, question and answer sessions, discussions. Workshop Enrolment Numbers are limited and places are reserved on a first come, first-served basis. Please note, there are no costs for staff, HDR and Honours students from University of Notre Dame.
To ensure you secure a place, please email Valentina Panci your registration form.
Valentina Panci, Research Office, University of Notre Dame Sydney Email: [email protected], Ph. (02) 8204 4426
For any information regarding the workshops please contact Louisa Smith, Institute for Health Research, University of Notre Dame Fremantle, email: [email protected], Ph. (08) 9433 0105.
Successful attendees will be notified shortly after registration form and payment (if required) is received.
Workshop Venue: University of Notre Dame Computer Room NDS14/306, Level 3 School of Medicine and Nursing 160 Oxford Street, Corner of Victoria Street Darlinghurst
Workshop Fees for External Participants: For external participants there is a fee of $200 (including GST) for this half day workshop. Fees include extensive course material, data sets, lectures, use of computing facilities and opportunity to network with fellow researchers.
Please note, the cost for Staff and PhD/Prof Doc students from University of Notre Dame will be covered by IHR, however please ensure that you complete the registration form. Registration Form SURVIVAL ANALYSIS USING SPSS Friday 9th June 2017, 1.30pm – 5.00pm
Successful attendees will be notified shortly after this registration form is received. Tax invoices if applicable will be issued at the workshop. Closing date for registration is Monday, 22nd May.
For more information please contact either: Louisa Smith Ph. (08) 9433 0105, email [email protected], or Valentina Panci, Ph. (02) 8204 4426, email: [email protected]
Title Full Name Institution/Company Email Address Contact Number
Do you require any special access or mobility arrangements? ______
How would you describe your statistical skills? ______
What is your area of research? ______
Payment Details : (not applicable to UNDA staff, HDR and Honours students) Payment can be made by Cheque or Credit Card. If payment is by cheque please make payable to “The University of Notre Dame Fremantle”. If paying by credit card please complete the following.
Payment Applicable Yes No ------NAME OF CARD HOLDER: ______
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EMAIL TO: [email protected]