Zobrazeno 1 - 10
of 925
pro vyhledávání: '"Deaner A"'
Autor:
Deaner, Ben, Ku, Hyejin
In economic program evaluation, it is common to obtain panel data in which outcomes are indicators that an individual has reached an absorbing state. For example, they may indicate whether an individual has exited a period of unemployment, passed an
Externí odkaz:
http://arxiv.org/abs/2405.05220
Autor:
Arina Nisanova, BA, Arefeh Yavary, MSc, Jordan Deaner, MD, Ferhina S. Ali, MD, MPH, Priyanka Gogte, MD, Richard Kaplan, MD, Kevin C. Chen, MD, Eric Nudleman, MD, PhD, Dilraj Grewal, MD, Meenakashi Gupta, MD, Jeremy Wolfe, MD, Michael Klufas, MD, Glenn Yiu, MD, PhD, Iman Soltani, PhD, Parisa Emami-Naeini, MD, MPH
Publikováno v:
Ophthalmology Science, Vol 4, Iss 5, Pp 100470- (2024)
Purpose: Automated machine learning (AutoML) has emerged as a novel tool for medical professionals lacking coding experience, enabling them to develop predictive models for treatment outcomes. This study evaluated the performance of AutoML tools in d
Externí odkaz:
https://doaj.org/article/15a7f54b929744708a86d399eab9496a
Publikováno v:
Canadian Journal of Pain, Vol 8, Iss 1 (2024)
ABSTRACTBackground Previous research has found chronic pain to be prevalent among individuals with opioid use disorder (OUD). The perception that pain is related to OUD onset, maintenance, relapse, and treatment delay has been noted in this populatio
Externí odkaz:
https://doaj.org/article/a0d0a00e40284d749e9710c289c58f04
Autor:
Deaner, Ben
We present new results for nonparametric identification of causal effects using noisy proxies for unobserved confounders. Our approach builds on the results of \citet{Hu2008} who tackle the problem of general measurement error. We call this the `trip
Externí odkaz:
http://arxiv.org/abs/2204.13815
Autor:
Nisanova, Arina, Yavary, Arefeh, Deaner, Jordan, Ali, Ferhina S., Gogte, Priyanka, Kaplan, Richard, Chen, Kevin C., Nudleman, Eric, Grewal, Dilraj, Gupta, Meenakashi, Wolfe, Jeremy, Klufas, Michael, Yiu, Glenn, Soltani, Iman, Emami-Naeini, Parisa
Publikováno v:
In Ophthalmology Science September-October 2024 4(5)
Autor:
Deaner, Ben
A recent literature considers causal inference using noisy proxies for unobserved confounding factors. The proxies are divided into two sets that are independent conditional on the confounders. One set of proxies are `negative control treatments' and
Externí odkaz:
http://arxiv.org/abs/2110.03973
Autor:
Parker Entrup, Leon Brodsky, Candice Trimble, Stephanie Garcia, Nasra Mohamed, Megan Deaner, J. P. Martell, Julie Teater, Ayana Jordan, Jeanette M. Tetrault, O. Trent Hall
Publikováno v:
International Journal for Equity in Health, Vol 22, Iss 1, Pp 1-9 (2023)
Abstract Background In 2020 COVID-19 was the third leading cause of death in the United States. Increases in suicides, overdoses, and alcohol related deaths were seen—which make up deaths of despair. How deaths of despair compare to COVID-19 across
Externí odkaz:
https://doaj.org/article/3a025e6a3e6143e386c8f4dda5ff070d
Autor:
Tomaiuolo, Maurizio, Deaner, Jordan, VanderBeek, Brian L., Acharya, Binod, Syed, Zeba A., Zhang, Qiang, Schuman, Joel S., Hyman, Leslie
Publikováno v:
In Ophthalmology Retina July 2024
Autor:
Deaner, Ben
Estimation and inference in dynamic discrete choice models often relies on approximation to lower the computational burden of dynamic programming. Unfortunately, the use of approximation can impart substantial bias in estimation and results in invali
Externí odkaz:
http://arxiv.org/abs/2010.11482
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