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DTSTAMP:20250916T091430Z
DESCRIPTION:Ruth Pfeiffer\, PhD Senior Investigator/Biostatistics Branch\, 
 Division of Cancer Epidemiology and Genetics National Cancer Institute\, N
 IH\, HHS An efficient procedure to combine biomarkers with limits of detec
 tion for risk prediction\n\nTuesday\, 28 March 2017 3:30 pm – 4:30 pm - Pu
 rvis Hall\, 1020 Pine Ave. West\, Room 24 ALL ARE WELCOME \n\nAbstract: On
 ly a few procedures have been proposed so far that address how to combine 
 information from multiple correlated markers that are also left and/or rig
 ht censored due to lower or upper limits of detection. We extend dimension
  reduction approaches\, specifically likelihood-based sufficient dimension
  reduction (LDR) to regression or classification with censored predictors.
  These methods apply generally to any type of outcome\, including continuo
 us and categorical outcomes. Using an expectation maximization (EM) algori
 thm\, we find linear combinations that contain all the information contain
 ed in correlated markers for modeling and prediction of an outcome variabl
 e\, while accounting for left and right censoring due to detection limits.
  We also allow for selection of important variables through penalization. 
 We assess the performance of our methods extensively in simulations and ap
 ply them to data from a study conducted to assess associations of 47 infla
 mmatory markers and lung cancer risk and build prediction models. This is 
 joint work with Diego Tomassi\, Liliana Forzani and Efstathia Bura E.\n\nS
 EE PDF FOR DETAILS\n
DTSTART:20170328T193000Z
DTEND:20170328T203000Z
SUMMARY:SEMINAR: An efficient procedure to combine biomarkers with limits o
 f detection for risk prediction
URL:/epi-biostat-occh/channels/event/seminar-efficient
 -procedure-combine-biomarkers-limits-detection-risk-prediction-266828
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