BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 13.3//EN BEGIN:VTIMEZONE TZID:GMT Standard Time BEGIN:STANDARD DTSTART:20231002T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYHOUR=2;BYMINUTE=0;BYMONTH=10 TZNAME:GMT Standard Time TZOFFSETFROM:+0100 TZOFFSETTO:+0000 END:STANDARD BEGIN:DAYLIGHT DTSTART:20230301T010000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYHOUR=1;BYMINUTE=0;BYMONTH=3 TZNAME:GMT Daylight Time TZOFFSETFROM:+0000 TZOFFSETTO:+0100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:Presented by Professor Dave Collett Standard methods of surviva l analysis based on the Kaplan-Meier estimate of a survivor function\, the log rank test and Cox regression modelling are widely used in many differ ent areas of application. But often\, the assumptions that underlie these techniques may not be valid\, or the data structure may be more complex. E xtensions of these basic methods allow particular features of data that oc cur in practice to be handled appropriately. This course will describe som e of these more advanced methods and illustrate their practical applicatio n using SAS and R. The course assumes familiarity with basic methods for s ummarising survival data\, including estimates of the survivor function an d the log rank test. Some experience in using the Cox regression model wou ld be advantageous. DTEND:20150907T160000Z DTSTAMP:20240328T084838Z DTSTART:20150907T090000Z LOCATION: SEQUENCE:0 SUMMARY:Advanced Topics in Survival Analysis UID:RFCALITEM638472125189150766 X-ALT-DESC;FMTTYPE=text/html:
Presented by Professor Dave Collett
S tandard methods of survival analysis based on the Kaplan-Meier estimate of a survivor function\, the log rank test and Cox regression modelling are widely used in many different areas of application. But often\, the assump tions that underlie these techniques may not be valid\, or the data struct ure may be more complex. Extensions of these basic methods allow particula r features of data that occur in practice to be handled appropriately. Thi s course will describe some of these more advanced methods and illustrate their practical application using SAS and R.
The course assu mes familiarity with basic methods for summarising survival data\, includi ng estimates of the survivor function and the log rank test. Some experien ce in using the Cox regression model would be advantageous.
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