Zobrazeno 1 - 10
of 463
pro vyhledávání: '"Jeremy M G Taylor"'
Autor:
Madeline R Abbott, Lauren J Beesley, Emily L Bellile, Andrew G Shuman, Laura S Rozek, Jeremy M G Taylor
Publikováno v:
Cancer Informatics, Vol 22 (2023)
Background: In recent years, interest in prognostic calculators for predicting patient health outcomes has grown with the popularity of personalized medicine. These calculators, which can inform treatment decisions, employ many different methods, eac
Externí odkaz:
https://doaj.org/article/3f5b633bab184c0cb9758a452da2c330
Autor:
Justin A Colacino, Dana C Dolinoy, Sonia A Duffy, Maureen A Sartor, Douglas B Chepeha, Carol R Bradford, Jonathan B McHugh, Divya A Patel, Shama Virani, Heather M Walline, Emily Bellile, Jeffrey E Terrell, Jay A Stoerker, Jeremy M G Taylor, Thomas E Carey, Gregory T Wolf, Laura S Rozek
Publikováno v:
PLoS ONE, Vol 8, Iss 1, p e54742 (2013)
Head and neck squamous cell carcinoma (HNSCC) is the eighth most commonly diagnosed cancer in the United States. The risk of developing HNSCC increases with exposure to tobacco, alcohol and infection with human papilloma virus (HPV). HPV-associated H
Externí odkaz:
https://doaj.org/article/fb38d0f178f24e68b5214644ea0ff281
Autor:
William J. Benjamin, Pratyusha Yalamanchi, Jeremy M. G. Taylor, Nicholas Lenze, Francis P. Worden, Steven B. Chinn, Michelle M. Chen
Publikováno v:
Head & Neck. 45:1468-1475
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::637985ea43662919d68703813392676d
https://doi.org/10.1002/hed.27359
https://doi.org/10.1002/hed.27359
Publikováno v:
Canadian Journal of Statistics. 51:355-374
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48fc6e0a5c2d9172a7e401f5456e8a30
https://doi.org/10.1002/cjs.11701
https://doi.org/10.1002/cjs.11701
Publikováno v:
Biometrika. 110:119-134
Summary We consider the situation of estimating the parameters in a generalized linear prediction model, from an internal dataset, where the outcome variable $Y$ is binary and there are two sets of covariates, $X$ and $Z$. We have information from an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::301a232d06f257b115410542aa89c1ff
https://doi.org/10.1093/biomet/asac022
https://doi.org/10.1093/biomet/asac022
Publikováno v:
Statistics in Medicine. 41:2957-2977
The goal in personalized medicine is to individualize treatment using patient characteristics and improve health outcomes. Selection of optimal dose must balance the effect of dose on both treatment efficacy and toxicity outcomes. We consider a setti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2634e82e2bbc78f7260f38d763d79e7a
https://doi.org/10.1002/sim.9396
https://doi.org/10.1002/sim.9396
Autor:
Kayla R. Getz, Emily Bellile, Katie R. Zarins, Steven B. Chinn, Jeremy M. G. Taylor, Laura S. Rozek, Gregory T. Wolf, Alison M. Mondul
Publikováno v:
Head & Neck. 44:1393-1403
Tumor-infiltrating lymphocytes (TILs) and cytokines are associated with prognosis among patients with head and neck squamous cell carcinoma (HNSCC). Statins (cholesterol-lowering drugs) may improve HNSCC prognosis, particularly in human papillomaviru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6872b4ec345aa794b4db70c6cb1bfc60
https://doi.org/10.1002/hed.27040
https://doi.org/10.1002/hed.27040
Publikováno v:
Stats
Volume 6
Issue 1
Pages: 322-344
Volume 6
Issue 1
Pages: 322-344
Clinical trials often collect intermediate or surrogate endpoints other than their true endpoint of interest. It is important that the treatment effect on the surrogate endpoint accurately predicts the treatment effect on the true endpoint. There are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc07f24b33082169b77fd323adba22b3
Publikováno v:
Canadian Journal of Statistics. 50:381-384
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6343e060f5ff2056e185a69d8f46874
https://doi.org/10.1002/cjs.11657
https://doi.org/10.1002/cjs.11657
Publikováno v:
Stat Med
Dynamic treatment regimes (DTRs) include a sequence of treatment decision rules, in which treatment is adapted over time in response to the changes in an individual’s disease progression and health care history. In medical practice, nested test-and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60612153cb3a50ef5f0247b829fde938
https://doi.org/10.1002/sim.9177
https://doi.org/10.1002/sim.9177