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UID:20251222T122950EST-3165FcBN34@132.216.98.100
DTSTAMP:20251222T172950Z
DESCRIPTION:Coraline Danieli\, PhD Postdoctoral Fellow – RIMUHC - 51³Ô¹ÏÍøUn
 iversity New tests to check the main assumptions of a flexible parametric 
 excess hazard model\n\nTuesday\, 14 March 2017 3:30 pm – 4:30 pm - Purvis 
 Hall\, 1020 Pine Ave. West\, Room 24 ALL ARE WELCOME \n\nAbstract: In many
  clinical prognostic studies of patients diagnosed with a particular disea
 se\, individual causes of death remain unknown. Net survival\, the one tha
 t would be observed if the disease under study were the only cause of deat
 h\, is an important and increasingly used indicator in public health\, esp
 ecially in population-based studies. Estimates of net survival and of the 
 effects of prognostic factors on net survival\, can be obtained by excess 
 hazard regression modeling. However\, whereas various diagnostic tools wer
 e developed for overall survival analysis\, few methods are available to c
 heck the assumptions of excess hazard models. We propose two formal tests 
 to check the proportional hazards assumption and the validity of the funct
 ional forms of the covariate effects in the context of flexible parametric
  excess hazard modeling. These tests were adapted from martingale-residual
 -based tests for parametric modeling of overall survival to allow adding t
 o the model a necessary element for net survival analysis: the population 
 mortality hazard. We studied the size and the power of these tests through
  an extensive simulation study based on complex but realistic data. The ne
 w tests showed sizes close to the nominal values and satisfactory powers. 
 The power of the proportionality test was similar or greater than that of 
 other tests already available in the field of net survival. We illustrate 
 the use of these tests with real data from French cancer registries. \n\nS
 EE PDF FOR DETAILS\n
DTSTART:20170314T193000Z
DTEND:20170314T203000Z
SUMMARY:SEMINAR: New tests to check the main assumptions of a flexible para
 metric excess hazard model
URL:/epi-biostat-occh/channels/event/seminar-new-tests
 -check-main-assumptions-flexible-parametric-excess-hazard-model-266826
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