Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Santacatterina, Michele"'
Modeling multivariate time series is a well-established problem with a wide range of applications from healthcare to financial markets. Traditional State Space Models (SSMs) are classical approaches for univariate time series modeling due to their si
Externí odkaz:
http://arxiv.org/abs/2406.04320
Platform trials are multi-arm designs that simultaneously evaluate multiple treatments for a single disease within the same overall trial structure. Unlike traditional randomized controlled trials, they allow treatment arms to enter and exit the tria
Externí odkaz:
http://arxiv.org/abs/2404.19118
Recent advances in deep learning have mainly relied on Transformers due to their data dependency and ability to learn at scale. The attention module in these architectures, however, exhibits quadratic time and space in input size, limiting their scal
Externí odkaz:
http://arxiv.org/abs/2403.19888
Autor:
Pham, Khiem, Hirshberg, David A., Huynh-Pham, Phuong-Mai, Santacatterina, Michele, Lim, Ser-Nam, Zabih, Ramin
We propose an empirically stable and asymptotically efficient covariate-balancing approach to the problem of estimating survival causal effects in data with conditionally-independent censoring. This addresses a challenge often encountered in state-of
Externí odkaz:
http://arxiv.org/abs/2310.02278
Estimating causal effects from large experimental and observational data has become increasingly prevalent in both industry and research. The bootstrap is an intuitive and powerful technique used to construct standard errors and confidence intervals
Externí odkaz:
http://arxiv.org/abs/2302.02859
Autor:
Nemani, Katlyn, De Picker, Livia, Dickerson, Faith, Leboyer, Marion, Santacatterina, Michele, Ando, Fumika, Capichioni, Gillian, Smith, Thomas E., Kammer, Jamie, El Abdellati, Kawtar, Morrens, Manuel, Coppens, Violette, Katsafanas, Emily, Origoni, Andrea, Khan, Sabahat, Rowe, Kelly, Ziemann, R.Sarah, Tamouza, Ryad, Yolken, Robert H., Goff, Donald C.
Publikováno v:
In Brain, Behavior, & Immunity - Health July 2024 38
Autor:
Shu, Michelle, Bowen, Richard Strong, Herrmann, Charles, Qi, Gengmo, Santacatterina, Michele, Zabih, Ramin
Time-to-event analysis is an important statistical tool for allocating clinical resources such as ICU beds. However, classical techniques like the Cox model cannot directly incorporate images due to their high dimensionality. We propose a deep learni
Externí odkaz:
http://arxiv.org/abs/2108.09641
Autor:
Pun, Patrick H., Santacatterina, Michele, Ways, Javaughn, Redd, Cynthia, Al-Khatib, Sana M., Smyth-Melsky, Jane, Chinitz, Larry, Charytan, David M.
Publikováno v:
In Kidney International Reports November 2023 8(11):2385-2394
Autor:
Santacatterina, Michele
Covariate balance is crucial in obtaining unbiased estimates of treatment effects in observational studies. Methods based on inverse probability weights have been widely used to estimate treatment effects with observational data. Machine learning tec
Externí odkaz:
http://arxiv.org/abs/2010.07695
Many scientific questions require estimating the effects of continuous treatments. Outcome modeling and weighted regression based on the generalized propensity score are the most commonly used methods to evaluate continuous effects. However, these te
Externí odkaz:
http://arxiv.org/abs/1910.11972