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SUMMARY:Sylwester Piątek (Dioscuri Centre in Topological Data Analysis)
DTSTART:20260323T113000Z
DTEND:20260323T133000Z
DTSTAMP:20260423T024555Z
UID:BNAT/19
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BNAT/19/">Su
 rvival Analysis and Censored Data</a>\nby Sylwester Piątek (Dioscuri Cent
 re in Topological Data Analysis) as part of Basic Notions and Applied Topo
 logy Seminar\n\nLecture held in Room 1 at the IMPAS\, Room 1.14 at the Ins
 titute of Informatics (University of Gdańsk).\n\nAbstract\nThis seminar i
 ntroduces the key concepts and methods of survival analysis. We begin by d
 iscussing the nature of survival (or time-to-event) data and the complicat
 ions introduced by censoring - when the event of interest has not occurred
  for some subjects by study end or loss to follow-up. The talk then presen
 ts classical and modern tools for analyzing such data: we will cover the n
 onparametric estimation of survival curves (via the Kaplan-Meier estimator
 )\, compare survival experiences with the Log-Rank test\, and introduce re
 gression models for survival outcomes - in particular\, the Cox proportion
 al hazards model (hazard-based modeling)\, including discussion of the haz
 ard function and handling of covariates. The talk also touches on more adv
 anced considerations such as shrinkage for Cox models\, time-dependent cov
 ariates\, and diagnostic checks (e.g.\, verifying the proportional hazards
  assumption).\n
LOCATION:https://researchseminars.org/talk/BNAT/19/
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