[HTML][HTML] Uncovering interpretable potential confounders in electronic medical records

J Zeng, MF Gensheimer, DL Rubin, S Athey… - Nature …, 2022 - nature.com
Randomized clinical trials (RCT) are the gold standard for informing treatment decisions.
Observational studies are often plagued by selection bias, and expert-selected covariates …

[HTML][HTML] Bayesian and frequentist approach for the generalized log-logistic accelerated failure time model with applications to larynx-cancer patients

AH Muse, S Mwalili, O Ngesa, HM Alshanbari… - Alexandria Engineering …, 2022 - Elsevier
The log-normal, log-logistic and Weibull distributions are commonly utilized to model
survival data. Unimodal (or non-monotone) failure rate functions are modeled using the log …

[HTML][HTML] Extracting physiologic and clinical data from defibrillators for research purposes to improve treatment for patients in cardiac arrest

T Nordseth, T Eftestøl, E Aramendi, JT Kvaløy… - Resuscitation …, 2024 - Elsevier
Background A defibrillator should be connected to all patients receiving cardiopulmonary
resuscitation (CPR) to allow early defibrillation. The defibrillator will collect signal data such …

[HTML][HTML] The Failure Intensity Estimation of Repairable Systems in Dynamic Working Conditions Considering Past Effects

X Zhou, H Tian, F Deng, L Dong, J Li - Applied Sciences, 2022 - mdpi.com
To overcome the disadvantages of the traditional proportional intensity model which ignores
the past effects of working conditions, this paper proposes an improved proportional …

Towards simple time-to-event modeling: optimizing neural networks via rank regression

H Lee, J Lee, T Choi, J Kang, S Choi - openreview.net
Time-to-event analysis, also known as survival analysis, aims to predict the first occurred
event time, conditional on a set of features. However, the presence of censorship brings …