Zobrazeno 1 - 10
of 3 710
pro vyhledávání: '"A. Gerds"'
Autor:
Munch, Anders, Gerds, Thomas A.
In survival analysis, prediction models are needed as stand-alone tools and in applications of causal inference to estimate nuisance parameters. The super learner is a machine learning algorithm which combines a library of prediction models into a me
Externí odkaz:
http://arxiv.org/abs/2405.17259
Autor:
S. Verstovsek, A. Vannucchi, A. Gerds, H. K. Al-Ali, D. Lavie, A. Kuykendall, S. Grosicki, A. Iurlo, Y. T. Goh, M. Lazaroiu, M. Egyed, M. L. Fox, D. McLornan, A. Perkins, S.-S. Yoon, V. Gupta, J.-J. Kiladjian, R. Donahue, J. Kawashima, R. Mesa
Publikováno v:
HemaSphere, Vol 6, Pp 96-97 (2022)
Externí odkaz:
https://doaj.org/article/96e126c4aa39416eb64bd19606a009a2
Autor:
H. Gill, A. Yacoub, K. Pettit, T. Bradley, A. Gerds, M. Tatarczuch, J. Shortt, N. Curtin, J. Rossetti, K. Burbury, A. Mead, J. Göthert, S. Koschmieder, A. Jones, J. Peppe, J. Dias, G. Natsoulis, T. McClure, M. Kleppe, W.-J. Hong, W. Stevenson, J. Ewing, J. Chacko, E. Rumi, A. Halpern, F. Palandri, N. Vianelli, F. Passamonti, R. Mesa, M. Marchetti, C. Harrison, A. Vannucchi, J. Watts, D. Ross, M. Talpaz, H. Rienhoff
Publikováno v:
HemaSphere, Vol 6, Pp 941-942 (2022)
Externí odkaz:
https://doaj.org/article/0518d38a28584db1a2fd41f93fd8ff99
Autor:
C. Harrison, P. Bose, R. Mesa, A. Gerds, S. Oh, J.-J. Kiladjian, V. García-Gutierrez, A. Vannucchi, C. Scheid, M. Sobas, S. Verstovsek, S. Buckley, K. Roman-Torres, J. Mascarenhas
Publikováno v:
HemaSphere, Vol 6, Pp 959-960 (2022)
Externí odkaz:
https://doaj.org/article/1ff96a6c543f471bb9e557757e572c28
Autor:
A. Vannucchi, R. Mesa, A. Gerds, H. K. Al-Ali, D. Lavie, A. Kuykendall, S. Grosicki, A. Iurlo, Y. T. Goh, M. Lazaroiu, M. Egyed, M. L. Fox, D. McLornan, A. Perkins, S.-S. Yoon, V. Gupta, J.-J. Kiladjian, R. Donahue, J. Kawashima, S. Verstovsek
Publikováno v:
HemaSphere, Vol 6, Pp 940-941 (2022)
Externí odkaz:
https://doaj.org/article/2c1ea77aeb224783a0dc76938e1ba7b3
Autor:
A. Yacoub, U. Borate, R. Rampal, H. Ali, E. Wang, A. Gerds, G. Hobbs, M. Kremyanskaya, E. Winton, C. O’Connell, S. Goel, S. Oh, G. Schiller, A. Assad, S. Erickson-Viitanen, F. Zhou, N. Daver
Publikováno v:
HemaSphere, Vol 6, Pp 953-954 (2022)
Externí odkaz:
https://doaj.org/article/5624e8a7b6a24ecd8a961b6f5c6dc8ef
We consider estimation of conditional hazard functions and densities over the class of multivariate c\`adl\`ag functions with uniformly bounded sectional variation norm when data are either fully observed or subject to right-censoring. We demonstrate
Externí odkaz:
http://arxiv.org/abs/2404.11083
Autor:
Chen, David, Rytgaard, Helene C. W., Fong, Edwin C. H., Tarp, Jens M., Petersen, Maya L., van der Laan, Mark J., Gerds, Thomas A.
This article introduces the R package concrete, which implements a recently developed targeted maximum likelihood estimator (TMLE) for the cause-specific absolute risks of time-to-event outcomes measured in continuous time. Cross-validated Super Lear
Externí odkaz:
http://arxiv.org/abs/2310.19197
Autor:
Nance, Nerissa, Mertens, Andrew, Gerds, Thomas, Wang, Zeyi, Torp-Pedersen, Christian, van der Laan, Mark, Kvist, Kajsa, Lange, Theis, Zareini, Bochra, Petersen, Maya
The causal roadmap is a formal framework for causal and statistical inference that supports clear specification of the causal question, interpretable and transparent statement of required causal assumptions, robust inference, and optimal precision. T
Externí odkaz:
http://arxiv.org/abs/2310.03235
Autor:
Madelaire C, Gerds T, Køber L, Gustafsson F, Andersson C, Kristensen SL, Butt JH, Zahir Anjum D, Banke A, Fosbøl EL, Gislason G, Torp-Pedersen C, Schou M
Publikováno v:
Clinical Epidemiology, Vol Volume 16, Pp 631-640 (2024)
Christian Madelaire,1,2 Thomas Gerds,3,4 Lars Køber,5 Finn Gustafsson,5 Charlotte Andersson,1,6 Søren Lund Kristensen,5 Jawad Haider Butt,1 Deewa Zahir Anjum,1 Ann Banke,2 Emil Loldrup Fosbøl,5 Gunnar Gislason,1,4 Christian Torp-Pedersen,7 Morten
Externí odkaz:
https://doaj.org/article/1acf73e5e80d44f7a6fcd22f5a3e06d4