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DTSTAMP:20261027T042901Z
DESCRIPTION:Ashkan Ertefaie\, PhD\n\nAssociate Professor\n	Department of Bio
 statistics\, Epidemiology & Informatics\n	Division of Biostatistics | UPenn
 \n	\n	WHEN: Wednesday\, February 12\, 2025\, from 3:30 to 4:30 p.m.\n	WHERE: 
 Hybrid | 2001 McGill College Avenue\, Room 1140\; Zoom\n	NOTE: Ashkan Ertef
 aie will be presenting from Philadelphia\n\nAbstract\n\nReal-world clinica
 l decision making is a complex process that involves balancing the risks a
 nd benefits of treatments. Quality-adjusted lifetime is a composite outcom
 e that combines patient quantity and quality of life\, making it an attrac
 tive outcome in clinical research. We propose methods for constructing opt
 imal treatment length strategies to maximize this outcome. Existing method
 s for estimating optimal treatment strategies for survival outcomes cannot
  be applied to a quality-adjusted lifetime due to induced informative cens
 oring. We propose a weighted estimating equation that adjusts for both con
 founding and informative censoring. We also propose a nonparametric estima
 tor of the mean counterfactual quality-adjusted lifetime survival curve un
 der a given treatment length strategy\, where the weights are estimated us
 ing an undersmoothed sieve-based estimator. We show that the estimator is 
 asymptotically linear and provide a data-dependent undersmoothing criterio
 n. We apply our method to obtain the optimal time for percutaneous endosco
 pic gastrostomy insertion in patients with amyotrophic lateral sclerosis.
 \n\nSpeaker Bio\n\nPlease visit website: https://ertefaie.com.\n
DTSTART:20250212T203000Z
DTEND:20250212T213000Z
SUMMARY:Constructing optimal treatment length strategies to maximize qualit
 y-adjusted lifetimes
URL:https://www.mcgill.ca/epi-biostat-occh/channels/event/constructing-opti
 mal-treatment-length-strategies-maximize-quality-adjusted-lifetimes-363010
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