FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964417596> ?p ?o ?g. }

• W2964417596 endingPage "636" @default.
• W2964417596 startingPage "629" @default.
• W2964417596 abstract "Abstract Motivation Personalized medicine often relies on accurate estimation of a treatment effect for specific subjects. This estimation can be based on the subject’s baseline covariates but additional complications arise for a time-to-event response subject to censoring. In this paper, the treatment effect is measured as the difference between the mean survival time of a treated subject and the mean survival time of a control subject. We propose a new random forest method for estimating the individual treatment effect with survival data. The random forest is formed by individual trees built with a splitting rule specifically designed to partition the data according to the individual treatment effect. For a new subject, the forest provides a set of similar subjects from the training dataset that can be used to compute an estimation of the individual treatment effect with any adequate method. Results The merits of the proposed method are investigated with a simulation study where it is compared to numerous competitors, including recent state-of-the-art methods. The results indicate that the proposed method has a very good and stable performance to estimate the individual treatment effects. Two examples of application with a colon cancer data and breast cancer data show that the proposed method can detect a treatment effect in a sub-population even when the overall effect is small or nonexistent. Availability and implementation The authors are working on an R package implementing the proposed method and it will be available soon. In the meantime, the code can be obtained from the first author at sami.tabib@hec.ca. Supplementary information Supplementary data are available at Bioinformatics online." @default.
• W2964417596 created "2019-08-13" @default.
• W2964417596 creator A5000903292 @default.
• W2964417596 creator A5001422267 @default.
• W2964417596 date "2019-08-02" @default.
• W2964417596 modified "2023-10-18" @default.
• W2964417596 title "Non-parametric individual treatment effect estimation for survival data with random forests" @default.
• W2964417596 cites W1976459656 @default.
• W2964417596 cites W1981886486 @default.
• W2964417596 cites W1985390432 @default.
• W2964417596 cites W1985851580 @default.
• W2964417596 cites W2011485768 @default.
• W2964417596 cites W2041834303 @default.
• W2964417596 cites W2042206577 @default.
• W2964417596 cites W2045803758 @default.
• W2964417596 cites W2047081748 @default.
• W2964417596 cites W2057521255 @default.
• W2964417596 cites W2072013249 @default.
• W2964417596 cites W2084139018 @default.
• W2964417596 cites W2098513839 @default.
• W2964417596 cites W2104285855 @default.
• W2964417596 cites W2108143085 @default.
• W2964417596 cites W2132917208 @default.
• W2964417596 cites W2134978098 @default.
• W2964417596 cites W2159848047 @default.
• W2964417596 cites W2236833089 @default.
• W2964417596 cites W2255487108 @default.
• W2964417596 cites W2313857605 @default.
• W2964417596 cites W2396610607 @default.
• W2964417596 cites W2463876465 @default.
• W2964417596 cites W2464257012 @default.
• W2964417596 cites W2602173702 @default.
• W2964417596 cites W2605266049 @default.
• W2964417596 cites W2749556736 @default.
• W2964417596 cites W2802003196 @default.
• W2964417596 cites W2911964244 @default.
• W2964417596 cites W2962727190 @default.
• W2964417596 cites W2963873913 @default.
• W2964417596 cites W3099006712 @default.
• W2964417596 cites W3122807153 @default.
• W2964417596 cites W3125601314 @default.
• W2964417596 cites W3150893739 @default.
• W2964417596 doi "https://doi.org/10.1093/bioinformatics/btz602" @default.
• W2964417596 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31373350" @default.
• W2964417596 hasPublicationYear "2019" @default.
• W2964417596 type Work @default.
• W2964417596 sameAs 2964417596 @default.
• W2964417596 citedByCount "12" @default.
• W2964417596 countsByYear W29644175962020 @default.
• W2964417596 countsByYear W29644175962021 @default.
• W2964417596 countsByYear W29644175962023 @default.
• W2964417596 crossrefType "journal-article" @default.
• W2964417596 hasAuthorship W2964417596A5000903292 @default.
• W2964417596 hasAuthorship W2964417596A5001422267 @default.
• W2964417596 hasConcept C10515644 @default.
• W2964417596 hasConcept C105795698 @default.
• W2964417596 hasConcept C117251300 @default.
• W2964417596 hasConcept C119043178 @default.
• W2964417596 hasConcept C119857082 @default.
• W2964417596 hasConcept C124101348 @default.
• W2964417596 hasConcept C126322002 @default.
• W2964417596 hasConcept C137668524 @default.
• W2964417596 hasConcept C162324750 @default.
• W2964417596 hasConcept C168743327 @default.
• W2964417596 hasConcept C169258074 @default.
• W2964417596 hasConcept C17923572 @default.
• W2964417596 hasConcept C187736073 @default.
• W2964417596 hasConcept C2908647359 @default.
• W2964417596 hasConcept C33923547 @default.
• W2964417596 hasConcept C41008148 @default.
• W2964417596 hasConcept C71924100 @default.
• W2964417596 hasConcept C89337504 @default.
• W2964417596 hasConcept C95190672 @default.
• W2964417596 hasConcept C96250715 @default.
• W2964417596 hasConcept C99454951 @default.
• W2964417596 hasConceptScore W2964417596C10515644 @default.
• W2964417596 hasConceptScore W2964417596C105795698 @default.
• W2964417596 hasConceptScore W2964417596C117251300 @default.
• W2964417596 hasConceptScore W2964417596C119043178 @default.
• W2964417596 hasConceptScore W2964417596C119857082 @default.
• W2964417596 hasConceptScore W2964417596C124101348 @default.
• W2964417596 hasConceptScore W2964417596C126322002 @default.
• W2964417596 hasConceptScore W2964417596C137668524 @default.
• W2964417596 hasConceptScore W2964417596C162324750 @default.
• W2964417596 hasConceptScore W2964417596C168743327 @default.
• W2964417596 hasConceptScore W2964417596C169258074 @default.
• W2964417596 hasConceptScore W2964417596C17923572 @default.
• W2964417596 hasConceptScore W2964417596C187736073 @default.
• W2964417596 hasConceptScore W2964417596C2908647359 @default.
• W2964417596 hasConceptScore W2964417596C33923547 @default.
• W2964417596 hasConceptScore W2964417596C41008148 @default.
• W2964417596 hasConceptScore W2964417596C71924100 @default.
• W2964417596 hasConceptScore W2964417596C89337504 @default.
• W2964417596 hasConceptScore W2964417596C95190672 @default.
• W2964417596 hasConceptScore W2964417596C96250715 @default.
• W2964417596 hasConceptScore W2964417596C99454951 @default.
• W2964417596 hasFunder F4320334593 @default.
• W2964417596 hasIssue "2" @default.

• next