Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Michael Kosorok"'
Autor:
Haneuse, Sebastien, Laber, Eric
Publikováno v:
Amstat News. May2023, Issue 551, p33-33. 1p.
Background: Precision medicine is an emerging field that involves the selection of treatments based onpatients’ individual prognostic data. It is formalized through the identification of individualized treatment rules(ITRs) that maximize a clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ec3ec56aa89f5fb163a06fba2f1e19a
https://doi.org/10.21203/rs.3.rs-1766561/v1
https://doi.org/10.21203/rs.3.rs-1766561/v1
Akademický článek
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Autor:
Daria Igudesman, Jamie Crandell, Karen Corbin, Julie Hooper, Joan Thomas, Cynthia Bulik, Ian Carroll, Brian Pence, Richard Pratley, Michael Kosorok, David Maahs, Elizabeth Mayer-Davis
Publikováno v:
Current Developments in Nutrition. 6:1012
Autor:
Daria Igudesman, Jamie Crandell, Karen Corbin, Franklin Muntis, Dessi Zaharieva, Joan Thomas, Cynthia Bulik, Ian Carroll, Brian Pence, Richard Pratley, Michael Kosorok, David Maahs, Elizabeth Mayer-Davis
Publikováno v:
Current Developments in Nutrition. 6:1013
Publikováno v:
Clinics in plastic surgery. 44(4)
This article explores the current options for the quantitative assessment of hypertrophic burn scars. It also introduces a novel type of randomized, controlled trial, which relies on heterogeneity of the subject population to improve the predictive v
Publikováno v:
Stat. 4(1)
As a new strategy for treatment which takes individual heterogeneity into consideration, personalized medicine is of growing interest. Discovering individualized treatment rules (ITRs) for patients who have heterogeneous responses to treatment is one
Autor:
Sternberg, Maya
Publikováno v:
Amstat News. Oct2023, Issue 556, p28-28. 1p.
Autor:
Kwak, Minjung
Publikováno v:
Journal of the Korean Statistical Society; Jun2024, Vol. 53 Issue 2, p537-560, 24p
Autor:
Savy, Nicolas, Moodie, Erica EM, Drouet, Isabelle, Chambaz, Antoine, Falissard, Bruno, Kosorok, Michael R., Krakow, Elizabeth F., Mayo, Deborah G., Senn, Stephen, Van der Laan, Mark
Publikováno v:
International Journal of Biostatistics; Nov2023, Vol. 19 Issue 2, p261-270, 10p