Zobrazeno 1 - 10
of 5 182
pro vyhledávání: '"van der Laan P"'
Autor:
Williamson, Brian D., Krakauer, Chloe, Johnson, Eric, Gruber, Susan, Shepherd, Bryan E., van der Laan, Mark J., Lumley, Thomas, Lee, Hana, Munoz, Jose J. Hernandez, Zhao, Fengyu, Dutcher, Sarah K., Desai, Rishi, Simon, Gregory E., Shortreed, Susan M., Nelson, Jennifer C., Shaw, Pamela A.
In pharmacoepidemiology, safety and effectiveness are frequently evaluated using readily available administrative and electronic health records data. In these settings, detailed confounder data are often not available in all data sources and therefor
Externí odkaz:
http://arxiv.org/abs/2412.15012
Autor:
Liu, D. F., Xu, Y. F., Hu, H. Y., Liu, J. Y., Ying, T. P., Lv, Y. Y., Jiang, Y., Chen, C., Yang, Y. H., Pei, D., Prabhakaran, D., Gao, M. H., Wang, J. J., Zhang, Q. H., Meng, F. Q., Thiagarajan, B., Polley, C., Hashimoto, M., Lu, D. H., Schröter, N. B. M., Strocov, V. N., Louat, A., Cacho, C., Biswas, D., Lee, T. -L., Steadman, P., Bencok, P., Chen, Y. B., Gu, L., Hesjeda, T., van der Laan, G., Hosono, H., Yang, L. X., Liu, Z. K., Yuan, H. Q., Bernevig, B. A., Chen, Y. L.
The symbiosis of strong interactions, flat bands, topology and symmetry has led to the discovery of exotic phases of matter, including fractional Chern insulators, correlated moir\'e topological superconductors, and Dirac and Weyl semimetals. Correla
Externí odkaz:
http://arxiv.org/abs/2411.13898
Inverse weighting with an estimated propensity score is widely used by estimation methods in causal inference to adjust for confounding bias. However, directly inverting propensity score estimates can lead to instability, bias, and excessive variabil
Externí odkaz:
http://arxiv.org/abs/2411.06342
In causal inference, many estimands of interest can be expressed as a linear functional of the outcome regression function; this includes, for example, average causal effects of static, dynamic and stochastic interventions. For learning such estimand
Externí odkaz:
http://arxiv.org/abs/2411.02771
Autor:
Chen, Jie, Gruber, Susan, Lee, Hana, Chu, Haitao, Lee, Shiowjen, Tian, Haijun, Wang, Yan, He, Weili, Jemielita, Thomas, Song, Yang, Tamura, Roy, Tian, Lu, Zhao, Yihua, Chen, Yong, van der Laan, Mark, Nie, Lei
Real-world data (RWD) and real-world evidence (RWE) have been increasingly used in medical product development and regulatory decision-making, especially for rare diseases. After outlining the challenges and possible strategies to address the challen
Externí odkaz:
http://arxiv.org/abs/2410.06586
Autor:
Chen, Jie, Nie, Lei, Lee, Shiowjen, Chu, Haitao, Tian, Haijun, Wang, Yan, He, Weili, Jemielita, Thomas, Gruber, Susan, Song, Yang, Tamura, Roy, Tian, Lu, Zhao, Yihua, Chen, Yong, van der Laan, Mark, Lee, Hana
Developing drugs for rare diseases presents unique challenges from a statistical perspective. These challenges may include slowly progressive diseases with unmet medical needs, poorly understood natural history, small population size, diversified phe
Externí odkaz:
http://arxiv.org/abs/2410.06585
Autor:
Zhang, Chenhao, Wu, Yang, Chen, Jingyi, Jin, Haonan, Wang, Jinghui, Fan, Raymond, Steadman, Paul, van der Laan, Gerrit, Hesjedal, Thorsten, Zhang, Shilei
We performed a pump-probe experiment on the chiral magnet Cu$_2$OSeO$_3$ to study the relaxation dynamics of its non-collinear magnetic orders, employing a millisecond magnetic field pulse as the pump and resonant elastic x-ray scattering as the prob
Externí odkaz:
http://arxiv.org/abs/2410.05485
In this paper we propose the Highly Adaptive Ridge (HAR): a regression method that achieves a $n^{-1/3}$ dimension-free L2 convergence rate in the class of right-continuous functions with square-integrable sectional derivatives. This is a large nonpa
Externí odkaz:
http://arxiv.org/abs/2410.02680
Autor:
Gonçalves Leonel C., Dirkzwager Anja, Andrés-Pueyo Antonio, Appleton Catherine, Blanc Jean-Sébastien, Brosens Dorien, Cid José, Dahl Hilde, Dirga Lukáš, Gétaz Laurent, Geurtzen Catharina, Graebsch Christine, Grossi Sergio, Huber Daiana, Johnsen Berit, Larsen Bjørn Kjetil, Lechkar Iman, Marynissen Silke, Maycock Matthew, Meek Rosie, Nieuwbeerta Paul, Ødegård Atle, Pape Hilde, Urwyler Thierry, van der Laan Peter, van Hall Matthias, van Regenmortel Sofie, Vandermeersche Geert, Vandevelde Leen, Váně Jan, Vanhouche An-Sofie, Weber Michael, Whittington Richard, Wolff Hans, Woodbridge Elias, Yasrebi-de Kom Franziska M., Baggio Stéphanie
Publikováno v:
Forensic Science International: Mind and Law, Vol 3, Iss , Pp 100079- (2022)
Externí odkaz:
https://doaj.org/article/cf8bbc5a603d40b09ed153582d4078c7
Autor:
Wang, Zeheng, Wang, Fangzhou, Li, Liang, Wang, Zirui, van der Laan, Timothy, Leon, Ross C. C., Huang, Jing-Kai, Usman, Muhammad
This paper pioneers the use of quantum machine learning (QML) for modeling the Ohmic contact process in GaN high-electron-mobility transistors (HEMTs) for the first time. Utilizing data from 159 devices and variational auto-encoder-based augmentation
Externí odkaz:
http://arxiv.org/abs/2409.10803