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UID:20251118T164834EST-9980s2X0CE@132.216.98.100
DTSTAMP:20251118T214834Z
DESCRIPTION:Title:Bayesian Estimation of Individualized Treatment-Response 
 Curves in Populations with Heterogeneous Treatment Effects.\n\n\n	Abstract:
 \n\n\nEstimating individual treatment effects is crucial for individualize
 d or precision medicine. In reality\, however\, there is no way to obtain 
 both the treated and untreated outcomes from the same person at the same t
 ime. An approximation can be obtained from randomized controlled trials (R
 CTs). Despite the limitations that randomizations are usually expensive\, 
 impractical or unethical\, pre-specified variables may still not fully inc
 orporate all the relevant characteristics capturing individual heterogenei
 ty in treatment response. In this work\, we use non-experimental data\; we
  model heterogenous treatment effects in the studied population and provid
 e a Bayesian estimator of the individual treatment response. More specific
 ally\, we develop a novel Bayesian nonparametric (BNP) method that leverag
 es the G-computation formula to adjust for time-varying confounding in obs
 ervational data\, and it flexibly models sequential data to provide poster
 ior inference over the treatment response at both group level and individu
 al level. On a challenging dataset containing time series from patients ad
 mitted to intensive care unit (ICU)\, our approach reveals that these pati
 ents have heterogenous responses to the treatments used in managing kidney
  function. We also show that on held out data the resulting predicted outc
 ome in response to treatment (or no treatment) is more accurate than alter
 native approaches.\n\n\n	Speaker\n\n\nYanxun Xu is an assistant professor i
 n the Department of Applied Mathematics and Statistics at Johns Hopkins Un
 iversity and an adjunct assistant professor in the Devision of Biostatisti
 cs and Bioinformatics at The Sidney Kimmel Comprehensive Cancer Center at 
 Johns Hopkins School of Medicine.\n\nCATEGORIES\n\n\n	9IÖÆ×÷³§Ãâ·Ñ Statistics Sem
 inar\n\n
DTSTART:20190405T193000Z
DTEND:20190405T203000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Dr Yanxun Xu (Johns Hopkins University)
URL:/mathstat/channels/event/dr-yanxun-xu-johns-hopkin
 s-university-295820
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