Search Results for author: Jonathan Siegel

Found 2 papers, 0 papers with code

Assessing the Impact of COVID-19 on the Objective and Analysis of Oncology Clinical Trials -- Application of the Estimand Framework

no code implementations8 Jun 2020 Evgeny Degtyarev, Kaspar Rufibach, Yue Shentu, Godwin Yung, Michelle Casey, Stefan Englert, Feng Liu, Yi Liu, Oliver Sailer, Jonathan Siegel, Steven Sun, Rui Tang, Jiangxiu Zhou

We identify key intercurrent events that may occur due to COVID-19 in oncology clinical trials with a focus on time-to-event endpoints and discuss considerations pertaining to the other estimand attributes introduced in the ICH E9 addendum.

valid

Achieving acceleration despite very noisy gradients

no code implementations10 Feb 2023 Kanan Gupta, Jonathan Siegel, Stephan Wojtowytsch

We present a generalization of Nesterov's accelerated gradient descent algorithm.

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